- description 210 -> 57 chars; author credits Ben Barclay (benbarclay) first
- optional-skills/creative/ (marketing vertical, narrowest audience of
the batch)
- dropped phantom 'image-generation-workflow' ref; visuals via the
image_generate tool
- honest handoff language: platforms without connectors end at approved
drafts marked handed-off, never claimed as published
- tests (10) incl. phantom-ref and honest-handoff guards
- docs regen scoped: per-skill page + one catalog row + one sidebar line
Findings from scanning skills/ + optional-skills/ with NVIDIA
SkillEvaluator's deterministic Tier 1 checks (PII/secrets, unicode
smuggling, script lint):
- pixel-art, pokemon-player: remove hardcoded /home/teknium/ personal
paths (use ~ / portable phrasing); pokemon-player no longer claims
machine-specific state as fact
- kanban-video-orchestrator: replace <path> angle-bracket token in
frontmatter credits (flagged as XML-in-frontmatter prompt injection)
- comfyui, hermes-agent, unsloth, 1password, actual-setup: rephrase
placeholder secrets so they no longer pattern-match real credentials
(your-* placeholder convention, comment markers, {env:...} form)
- docker-management, pytorch-lightning: drop user:pass@ from example
connection strings (env/secret-manager guidance instead)
- evm: break up Keccak round constant that Luhn-validates as a credit
card number (digit-group underscores, value unchanged)
All targeted skills now pass pii+unicode+lint 3/3 except unsloth, which
retains scanner false positives only (Colab notebook IDs read as Bitcoin
addresses; an email inside a quoted upstream system prompt).
AST-driven pass over every Path.read_text()/write_text() without an
explicit encoding= across non-test code: 71 sites in 34 files
(skills_hub, hermes_cli/main+profiles+service_manager+container_boot,
mem0/hindsight/honcho plugins, achievements dashboard, release/CI
scripts, productivity+comfyui skill helpers, agent/*). Verified zero
positional-encoding collisions before insertion; per-file compile()
check after.
Adds a check-windows-footguns rule flagging bare single-line
read_text/write_text (multi-line forms stay covered by the AST guard
test from #38985). Together with the salvaged contributor commits this
retires the ~169-site bare file-I/O class (#37423's long tail).
On Windows with Chinese locale (GBK), subprocess.run(text=True) without
explicit encoding causes UnicodeDecodeError crashes. This fix adds
encoding='utf-8', errors='replace' to all subprocess.run() and
subprocess.Popen() calls that use text=True across 76 non-test Python files.
Fixes#53428 (master tracker for Windows GBK locale crash).
Note: credential_pool.py and electron changes excluded per reviewer request —
those will be submitted as separate focused PRs.
Widening pass on top of the #38820 salvage: a full-graph audit of every
SKILL.md (bundled + optional) found 13 more references to skills that
no longer exist. Classes:
- deleted in the 38d3c49aaf bundled-skill cleanup: generative-widgets,
spotify, cloudflared-quick-tunnel, webhook-subscriptions,
debugging-hermes-tui-commands -> dropped
- native-mcp absorbed into the hermes-agent hub skill -> re-pointed
- toolset names that were never skills: browser, image_gen -> dropped
Audit now reports zero broken related_skills references.
Salvaged from PR #42788 by @Love-JourneY, re-applied at current locations
(audiocraft and segment-anything have since moved to optional-skills/):
- skills/mlops/inference/vllm -> serving-llms-vllm
- skills/mlops/evaluation/lm-evaluation-harness -> evaluating-llms-harness
- optional-skills/mlops/models/segment-anything -> segment-anything-model
- optional-skills/creative/audiocraft -> audiocraft-audio-generation
Directory name != frontmatter name breaks skill_view() lookup by dir
name and causes hermes update sync re-seeding duplicates (#42786).
The authoring guide calls this out as Pitfall #8.
Fixes#42786
Every SKILL.md description over 60 chars was silently truncated to
57 chars + '...' in the system-prompt skill index
(extract_skill_description, agent/skill_utils.py), destroying the
routing signal for 69 of 179 skills — some descriptions ran to
1,005 chars.
Rewrites follow the authoring standard: <=60 chars, one sentence,
ends with a period, trigger front-loaded, no marketing words, no
skill-name repetition. Excess detail already lives in each skill's
body.
Includes the touchdesigner-mcp trim from PR #32361 (credit:
@JeliTron) and aligns with the router-precision direction of PR
#48780 (@John-Lussier). Docs catalogs + per-skill pages regenerated
via website/scripts/generate-skill-docs.py.
Co-authored-by: JeliTron <287797501+JeliTron@users.noreply.github.com>
Both are heavy-dep, GPU-bound local music-generation skills (8-16GB VRAM,
torch stacks, manual source patches) that were bundled in two different
categories (media/ and mlops/models/). Per the 'when in doubt, optional'
rule they now sit side by side in optional-skills/creative/, and the
bundled songwriting-and-ai-music skill points at them for local generation.
- git mv skills/media/heartmula -> optional-skills/creative/heartmula
- git mv skills/mlops/models/audiocraft -> optional-skills/creative/audiocraft
- cross-link related_skills both ways + songwriting-and-ai-music
- new section 10 in songwriting-and-ai-music with install commands
- docs: bundled pages -> optional pages (en + zh-Hans), catalogs, sidebar
Install via:
hermes skills install official/creative/heartmula
hermes skills install official/creative/audiocraft
The skill claimed Chromium/Electron 'reject synthetic clicks' so computer-use
can't drive the canvas. The Cua team disproved this on the exact v1.11.0
AppImage (Linux/X11): background delivery returns background_unavailable, but
that's the first rung, not a wall — cua-driver returns escalation:'foreground'
and its X11 XTest path (x11_xtest_fg) with delivery_mode:'foreground' clicks
through, dismissing the consent dialog and landing canvas clicks.
Corrected the note to say: climb to foreground on background_unavailable, don't
conclude Electron is unclickable. Ref: NousResearch/hermes-agent#67052.
Optional skill for driving the tldraw offline desktop app via its local
HTTP control API (the same curl-based path the app's own agent skills use
for Codex/Claude Code/Cursor/Gemini) — read the canvas, make live edits,
and write embedded document scripts.
Grounded in the app's bundled script-context.d.ts and agent playbook, and
in the real tldraw SDK v5 shape schema:
- document-script contract: export default function ({ editor, helpers, signal })
- HTTP API: /api/search, /api/doc/:id/exec, /api/doc/:id/script-workspace,
/api/doc/:id/script-status (bearer token from server.json, re-read per call)
- shape schema table validated against @tldraw/tlschema (scripts/validate_shapes.mjs, 3/3)
- interactive-UI example (scripts/counter.js) + diagram-generation (scripts/main.js)
- honest verification boundary: click->state logic verified via /exec dispatch
(0->1->2->1->0), with documented host caveats (inotify watcher, Electron
background-click rejection)
Tests: tests/skills/test_tldraw_offline_skill.py (15 passing).
Post-hoc sprite removal is a losing battle (three inpainting strategies
failed QC on letter-edge overlap frames). The production answer: sprites
are BillboardComponent/SpriteComponent/ArrowComponent subobjects — set
bVisible:false via ObjectTools (remove_component fails on default
subobjects), swept scene-wide in one ProgrammaticToolset script
(148 actors, 13 sprites, one round-trip, verified).
New references/advanced-workflows.md covering the sophisticated-workflow
surface, each section exercised against a running editor:
- ProgrammaticToolset batching: full contract (get_execution_environment
gate, execute_tool fully-qualified names, JSON-string inputs,
returnValue unwrapping, allowed imports) + a verified worked example
(12-column colonnade, 36 components in one round-trip vs 37 serial calls)
- Blueprint DSL authoring loop, verified end-to-end: create -> list_graphs
-> get_graph_dsl_docs -> find_node_types per node -> write_graph_dsl ->
compile_blueprint -> spawn instance. Every node-ID gotcha hit live is
recorded (EventTick not Tick, Math|Rotator|MakeRotator, registry
categories vs doc categories, no (self) node)
- PIE session options schema (bSimulate/playMode/warmupSeconds/
startTransform, out-of-process downgrade behavior)
- Sequencer orientation: 140-tool surface mapped by capability group +
sibling keyframing/controlrig/conditions toolsets + minimal cinematic
skeleton
- LogsToolset self-debugging, AutomationTestToolset CI loop,
SemanticSearch, ConfigSettings, project AgentSkillToolset precedence
- Per-situation decision table
New pitfalls from this round's live failures: 10b (refPath-object vs
plain-string params; schema-in-error as tiebreaker), 10c (DSL node IDs
must come from find_node_types). SKILL.md: batching exception wired into
the operating loop, reference table row, description updated.
Ran the full loop against a real editor (blank project, ModelContextProtocol
+ ToolsetRegistry + AllToolsets enabled): raw MCP handshake, discovery walk,
environment relight for golden hour, primitive monument build, virtual-camera
captures with vision judgment, exposure debugging, annotated spatial capture.
67 toolsets advertised; every dispatch semantic below observed, not inferred.
Corrections and additions from the live run:
- Qualified toolset names (editor_toolset.toolsets.scene.SceneTools) with
SHORT tool_name; TOptional params must be explicit null; find_actors
requires ''/[] for its schema-required optionals; ObjectTools values is a
JSON *string*; refPath object references; returnValue wrapping; per-property
failure lists with schema-in-error
- HTTP wire contract: initialize=JSON + session header, tools/call=SSE frame
after game-thread completion (plain-JSON clients read empty body)
- CaptureViewport as virtual camera (captureTransform, meter-unit annotation
grid + actor callouts) verified with pixel evidence; recipes rewritten to
use it instead of viewport piloting
- New pitfalls from real failures: template-level environment-actor
duplication compounding into whiteouts (find-first/spawn-if-missing rule),
template exposure calibration vs physical lux (12b), objective exposure
check via ffprobe YAVG (12c), untitled-level Save-As modal deadlock,
macOS full-Xcode + Metal Toolchain requirement (xcodebuild
-downloadComponent MetalToolchain)
- Live toolset census (67 on blank project), LogsToolset/ConfigSettings/
SemanticSearch highlights, UE EULA 6(e) licensing note
Follow-up on kshitijk4poor's cherry-picked references:
- pitfalls.md rewritten from the raw-socket blender_exec() frame to the
MCP-tool frame (dropped 'MCP server is optional, talk to the socket
directly' — now the anti-pattern; dropped TCP-helper internals items;
kept all bpy/addon knowledge: empty code results in 5.x, temp-file
readback, ops-vs-data context, engine names by version, GPU setup)
- recipes.md: blender_exec -> execute_blender_code in the agent-side
verification snippet
- SKILL.md: reference-file table added to Quick Reference, version
2.1.0, kshitijk4poor added to authors
- docs page regenerated (scoped to this skill)
The optional blender-mcp skill predates the blender MCP catalog entry
(#64463) and taught the agent to hand-roll raw TCP JSON to the addon's
socket on port 9876 from execute_code — bypassing the catalog's version
pinning and install-time tool curation.
Reworked to v2.0.0 as the companion skill for the catalog entry:
- prerequisites now go through 'hermes mcp install blender'
- interaction surface is the four curated MCP tools, not a raw socket
- keeps the valuable content: addon setup, bpy recipes (materials,
keyframes, render-to-file), pitfalls (timeouts, absolute paths,
object mode), plus new pitfalls (xvfb headless, no-sandbox warning,
remote-host path resolution)
- explicit anti-pattern note: do not hand-roll TCP to 9876
- description shortened to <=60 chars per skill authoring standards
alireza78a's original bpy patterns and pitfalls are preserved and
credited. Docs page regenerated via generate-skill-docs.py (scoped to
this skill only; unrelated generator drift left untouched).
ruff check --fix --select F541 . on current main. Pure prefix removals;
adjacent-string concatenations keep the f only on interpolating fragments.
No string content or live placeholder altered.
The kanban-worker and kanban-orchestrator bundled skills existed only to
be force-loaded into dispatcher-spawned workers, gated by
environments:[kanban] so they wouldn't leak into normal CLI listings.
That gating was fragile (the leak that #50443 patched) and the
--skills auto-load was already best-effort — most workers ran without it
because the bundled skill isn't present in profile-scoped skills dirs.
Remove the skills entirely and promote their load-bearing content
(workspace kinds, deliverable artifacts, created-card integrity, profile
discovery) into KANBAN_GUIDANCE, which is already injected into every
kanban worker's system prompt. Net result: every worker reliably gets
the guidance, nothing can leak into a CLI/blank-slate session, and the
gating machinery is gone.
- agent/prompt_builder.py: promote the 4 load-bearing rules into KANBAN_GUIDANCE
- hermes_cli/kanban_db.py: drop --skills kanban-worker auto-injection + _kanban_worker_skill_available probe
- hermes_cli/kanban_swarm.py: drop skills=[kanban-orchestrator] on the root card
- hermes_cli/kanban.py: drop kanban-init skill seeding; fix help text
- delete skills/devops/kanban-{worker,orchestrator}
- docs: delete the two skill pages (EN+zh), fix sidebars/catalog/kanban.md/kanban-worker-lanes.md and the video-orchestrator + codex-lane references
- tests: update spawn-argv expectations; re-bound the guidance-size guard
Supersedes the skill-leak half of #50443 (credit @helix4u for flagging the area).
The optional-skills copy was still the v1.0.0 constraint-dispatch skill
(SKILL.md + full-prompt-library.md only). This brings it up to the current
tool: a situation-routed library of 22 named ideation methods drawn from
working artists, scientists, designers, and writers.
SKILL.md becomes a 4-step router (extract PHASE/DOMAIN/SPECIFICITY signals
→ apply overrides → route phase-then-domain → resolve ambiguity), with
anti-slop operating rules and an anti-default check.
Adds:
- 22 method files under references/methods/ — oblique-strategies (Eno/Schmidt),
oulipo, scamper, lateral-provocations (de Bono), triz (Altshuller),
leverage-points (Meadows), pattern-languages (Alexander), compression-progress
(Schmidhuber), analogy-and-blending, pataphysics, first-principles, polya,
biomimicry, volume-generation, creative-discipline, premortem-and-inversion,
defamiliarization, derive-and-mapping, affinity-diagrams, jobs-to-be-done,
story-skeletons, chance-and-remix. Each: when/when-not, the actual
cards/principles/operators, a procedure, a worked example, anti-slop notes.
- references/method-catalog.md (index + when-to-use), heuristics.md (extended
decision tree), anti-slop.md (rules applied to every output), exercises.md
(time-boxed exercises).
- full-prompt-library.md restructured into domain-affinity sections (general /
software / physical / social / lists) so the no-direction default isn't
developer-biased.
Frontmatter: name aligned to directory slug (creative-ideation, folding in
the fix from #18084); version 2.0.0→2.1.0; platforms field preserved.
Original wttdotm-derived constraint dispatch is kept as the default path.
Supersedes #19295 (which targeted the pre-move skills/ path).
Co-authored-by: SHL0MS <SHL0MS@users.noreply.github.com>
* feat(skills): add html-artifact skill, fold in sketch + architecture-diagram + concept-diagrams
Adds a unified `html-artifact` creative skill that produces self-contained,
single-file HTML artifacts — concept explainers, implementation plans,
status/incident reports, code-review walkthroughs, technical + educational
SVG diagrams, multi-variant design comparisons, and throwaway editors that
export their state back to the clipboard. Grounded in Anthropic's
html-effectiveness gallery (MIT); the house style (token block, serif/sans/
mono split, hand-rolled diffs, inline-SVG diagrams, graceful degradation) is
distilled from reading all 20 reference files.
Supersedes and removes three overlapping skills, folding their unique value in:
- sketch -> the fidelity dial (throwaway vs presentation) + the
multi-variant comparison layouts + the browser-vision
verify loop (references/fidelity-and-verify.md)
- architecture-diagram-> the dark "infra" token variant + double-rect masking +
semantic component palette (references/dark-tech.md,
templates/diagram.html infra mode)
- concept-diagrams -> the 9-ramp educational color system + the concept
archetype library (references/concept-archetypes.md,
the light design system in templates/diagram.html)
Structure:
- SKILL.md (description exactly 60 chars), 6 references, 3 templates
- templates verified by headless-Chrome render + vision inspection
- editor export logic (file://-safe clipboard, Promise-normalized) verified in node
Cross-references updated in claude-design (new disambiguation table row drawing
the design-taste vs information-artifact boundary), design-md, pretext, spike,
and kanban-video-orchestrator. Website skill docs + catalogs regenerated;
stale EN/zh-Hans per-skill pages pruned and i18n cross-refs fixed.
Not folded (intentionally orthogonal): excalidraw (.excalidraw JSON), p5js
(generative canvas), claude-design / popular-web-designs / design-md (visual
design taste / brand vocab / token spec).
* feat(skills): ship html-effectiveness gallery as fetched reference examples
Add scripts/fetch-examples.sh (idempotent clone/pull of Anthropic's MIT
html-effectiveness gallery) + references/examples.md mapping each of the 20
example files to a mode so the agent reads the right worked example. The clone
lands in references/examples/ and is gitignored (it's a 384KB upstream repo,
not vendored). SKILL.md workflow + reference list now point at it; falls back to
the distilled pattern references when offline.
* feat(skills): make reading a gallery example a required authoring step
Reading the matching html-effectiveness example is now workflow step 2 (was an
optional aside in step 3): fetch the gallery, read_file the file for your mode,
mirror its structure. Models skip optional steps; the examples are the ground
truth, so consulting one is mandatory. Added an 'Example' column to the
mode->build quick-reference table and a 'don't skip the example' pitfall.
Also dogfooded the skill: read 03-code-review-pr.html and 13-flowchart-diagram.html
raw and reconciled the distilled references against source — aligned diff-row tint
opacity to the source's 0.15 (was 0.18) and added the .ctx/.hunk rows in
house-style.md + base.html so they match 03-code-review-pr.html verbatim.
* docs(skills): explain the consolidation + bundled-vs-optional rationale
The supersession note only stated *what* was folded, not *why* the prune is
sound. Expand SKILL.md's intro into a 'Why this skill exists' section: the three
former skills emitted the same artifact and overlapped, so consolidating removes
which-one-do-I-load ambiguity; and the optional->bundled promotion of
concept-diagrams is footprint-safe because this skill has zero deps (only cost is
the 60-char description; everything else is progressive-disclosure). States the
bundling dividing line explicitly: zero install cost + broadly useful gets
bundled, real install cost (hyperframes: Node+FFmpeg+Chromium) stays optional.
Regenerated website per-skill page to match.
Follow-up to the GitHub-skills fix: the same hardcoded ~/.hermes/.env
pattern existed across other bundled and optional skills. Under the
official Docker setup (HERMES_HOME=/opt/data, subprocess HOME=/opt/data/home)
those paths point at a nonexistent file.
- kanban-video-orchestrator setup.sh.tmpl + docs: resolve via
${HERMES_HOME:-$HOME/.hermes}/.env in check_key()
- telephony.py / canvas_api.py / hyperliquid_client.py: error and
save messages now report the real resolved env path instead of a
hardcoded literal (path resolution itself was already correct)
- godmode SKILL.md: load_dotenv snippet resolves via HERMES_HOME
- watch_github.py + ~20 SKILL.md prose mentions: document the env file
as ${HERMES_HOME:-~/.hermes}/.env so Docker users edit the right file
Remove unused imports (F401) and duplicate/shadowed import
redefinitions (F811) across the codebase using ruff's safe
autofixes. No behavioral changes -- imports only.
- ~1400 safe autofixes applied across 644 files (net -1072 lines)
- __init__.py re-exports preserved (excluded from F401 removal so
public re-export surfaces stay intact)
- Re-exports that are imported or monkeypatched by tests but look
unused in their defining module are kept with explicit # noqa:
F401 (gateway/run.py load_dotenv; run_agent re-exports from
agent.message_sanitization, agent.context_compressor,
agent.retry_utils, agent.prompt_builder, agent.process_bootstrap,
agent.codex_responses_adapter)
- Unsafe F841 (unused-variable) fixes deliberately skipped -- those
can change behavior when the RHS has side effects
- ruff lints remain disabled in pyproject.toml (only PLW1514 is
selected); this is a one-time cleanup, not a config change
Verification:
- python -m compileall: clean
- pytest --collect-only: all 27161 tests collect (zero import errors)
- core entry points import clean (run_agent, model_tools, cli,
toolsets, hermes_state, batch_runner, gateway)
- static scan: every name any test imports directly from an edited
module still resolves
Six days after #23937 (608 fixes) the codebase had accumulated 241 new
PLR6201 violations. Same mechanical `x in (...)` → `x in {...}` fix,
same zero-risk profile: set lookup is O(1) vs O(n) for tuple and the
two are semantically equivalent for hashable scalar membership tests.
All 241 instances fixed via `ruff check --select PLR6201 --fix
--unsafe-fixes`, zero remaining. Every changed value is a hashable
scalar (str/int/None/enum/signal); no risk of unhashable runtime
errors. No behavior change.
Test plan:
- 119 files changed, +244/-244 (net zero) — exactly one-line edits
- `ruff check` clean afterward
- Compile checks pass on the largest touched files (cli.py, run_agent.py,
gateway/run.py, gateway/platforms/discord.py, model_tools.py)
- Subset broad test run on tests/gateway/ tests/hermes_cli/ tests/agent/
tests/tools/: 18187 passed, 59 pre-existing failures (verified against
origin/main with the same shape — identical failure count, identical
category — all xdist test-order flakes unrelated to this change)
Follows the same template as PR #23937 ([tracker: #23972](https://github.com/NousResearch/hermes-agent/issues/23972)).
Extends the Windows-gating work to the optional-skills/ tree. Every
SKILL.md that previously omitted the platforms: field now carries an
explicit declaration, which Hermes's loader (agent.skill_utils.
skill_matches_platform) honors to skip-load on incompatible OSes.
58 skills declared cross-platform (platforms: [linux, macos, windows]):
autonomous-ai-agents/blackbox, autonomous-ai-agents/honcho
blockchain/base, blockchain/solana
communication/one-three-one-rule
creative/blender-mcp, creative/concept-diagrams, creative/hyperframes,
creative/kanban-video-orchestrator, creative/meme-generation
devops/cli (inference-sh-cli), devops/docker-management
dogfood/adversarial-ux-test
email/agentmail
finance/3-statement-model, finance/comps-analysis, finance/dcf-model,
finance/excel-author, finance/lbo-model, finance/merger-model,
finance/pptx-author
health/fitness-nutrition, health/neuroskill-bci
mcp/fastmcp, mcp/mcporter
migration/openclaw-migration
mlops/accelerate, mlops/chroma, mlops/clip, mlops/guidance,
mlops/hermes-atropos-environments, mlops/huggingface-tokenizers,
mlops/instructor, mlops/lambda-labs, mlops/llava, mlops/modal,
mlops/peft, mlops/pinecone, mlops/pytorch-lightning, mlops/qdrant,
mlops/saelens, mlops/simpo, mlops/stable-diffusion
productivity/canvas, productivity/shop-app, productivity/shopify,
productivity/siyuan, productivity/telephony
research/domain-intel, research/drug-discovery, research/duckduckgo-search,
research/gitnexus-explorer, research/parallel-cli, research/scrapling
security/1password, security/oss-forensics, security/sherlock
web-development/page-agent
5 skills gated from Windows (platforms: [linux, macos]):
mlops/flash-attention - Flash Attention wheels are Linux-first; Windows
install requires building from source with CUDA
mlops/faiss - faiss-gpu has no Windows wheel; gate rather than
leak partial (faiss-cpu) support
mlops/nemo-curator - NVIDIA NeMo ecosystem has no first-class Windows path
mlops/slime - Megatron+SGLang RL stack is Linux-only in practice
mlops/whisper - openai-whisper + ffmpeg setup on Windows is
non-trivial; gate until Windows install stanza lands
Methodology: scanned every SKILL.md for Windows-hostile signals
(apt-get, brew, systemd, osascript, ptrace, X11 binaries, POSIX-only
Python APIs, Docker POSIX $(pwd) bind-mounts, explicit 'linux-only' /
'macos-only' text). 3 skills flagged as having hard signals on review:
docker-management and qdrant only had POSIX $(pwd) docker examples and
the tools themselves (Docker Desktop, Qdrant) run fine on Windows —
declared ALL. whisper had an apt/brew ffmpeg install path and nothing
else but the openai-whisper Windows install story is rough enough to
warrant gating.
Strict-over-lenient policy: when in doubt, gate. Easier to un-gate after
verified Windows support lands than to leak partial support that
manifests as mid-task failures for Windows users.
- references/cli.md: add Inspect step (5/7) to Workflow + dedicated `## inspect` section between validate and preview, covering --json/--samples/--at flags and the legacy `hyperframes layout` alias
- SKILL.md: rename procedure step 7 to "Lint, validate, inspect, preview, render" with the full pipeline; explain inspect as the layout-side companion to validate (catches overflow / off-frame / occluded text issues that static lint can't see)
- SKILL.md verification: lint + validate + inspect as a single combined pass
- SKILL.md References list: include `inspect` in the cli.md command list
Brings the optional skill in sync with hyperframes-oss main as of 2026-05-03 — `inspect` was added in heygen-com/hyperframes#480 (2026-04-25) and is documented as a real workflow step in skills/hyperframes-cli/SKILL.md.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Pulls the hyperframes skill up to the latest state of heygen-com/hyperframes
skill content. Opened 2026-04-17; upstream has shipped CLI, layout, and path
changes since.
- SKILL.md: promote the visual-style check to a proper HARD-GATE
(DESIGN.md > named style > ask 3 questions, with the #333/#3b82f6/Roboto
tells); expand Step 6 to cover audio-reactive (mandatory per-frame
tl.call() sampling loop — a single long tween does NOT react to audio),
caption exit guarantee (hard tl.set kill after group.end), marker
highlighting, and scene transitions; add the animation-map script to
Verification; link the new features.md.
- references/cli.md: add capture and validate (both shipped commands, both
referenced from the workflow but missing from the reference). Add
--lang to tts with the voice-prefix auto-inference table and espeak-ng
dependency note (heygen-com/hyperframes#351, 2026-04-20 — after this
PR opened).
- references/website-to-video.md: update all paths to the capture/
subfolder layout introduced in heygen-com/hyperframes#345
(capture/screenshots/, capture/assets/, capture/extracted/tokens.json).
Old captured/ prefix was broken — agents following the skill were
looking for files in wrong locations.
- references/features.md (new): distilled coverage for captions (language
rule, tone table, word grouping, fitTextFontSize, exit guarantee), TTS
(multilingual phonemization, speed tuning), audio-reactive (data
format, mapping table, sampling pattern), marker highlighting
(highlight/circle/burst/scribble/sketchout), and transitions (energy/
mood tables, presets, shader-compatible CSS rules). Five topics the
original PR didn't cover.
Adds an optional creative skill that integrates HyperFrames, an
HTML-based video rendering framework, as a sibling to manim-video.
Complements manim's math-focused animation with motion-graphics,
captioned narration, audio-reactive visuals, shader transitions, and
website-to-video production.
Scope:
- optional-skills/creative/hyperframes/SKILL.md — entry point
- references/composition.md — data-attr schema, timeline contract
- references/cli.md — every npx hyperframes command
- references/gsap.md — GSAP core API for compositions
- references/website-to-video.md — 7-step capture-to-video workflow
- references/troubleshooting.md — OpenClaw / Chromium 147 fix
- scripts/setup.sh — idempotent one-time setup
OpenClaw / Chromium 147 fix (hyperframes#294):
Pinning hyperframes@>=0.4.2 (commit 4c72ba4 ships the
HeadlessExperimental.beginFrame auto-detect + screenshot fallback).
setup.sh pre-caches chrome-headless-shell so the fast BeginFrame path
is preferred over system Chrome. The PRODUCER_FORCE_SCREENSHOT=true
escape hatch is documented in troubleshooting.md and in SKILL.md
Pitfalls.
Placed under optional-skills/ (not bundled) per CONTRIBUTING.md
guidance for heavyweight deps: requires Node.js >= 22, FFmpeg, and
~300 MB chrome-headless-shell download.
The tool-matrix.md had a vague 'Gemini multimodal / Claude vision' entry
in the external tools table that didn't point to the actual built-in
Hermes tools. Now that video_analyze exists (merged in #19301), update
the skill to reference it properly:
- Add 'Built-in Hermes tools for media review' section with proper
toolset names, enablement instructions, and capability details
- Add video + vision toolsets to cinematographer, editor, and reviewer
profile configs
- Update role-archetypes.md to reference tools by name
- Update API key table to explain video_analyze routing
The kanban prefix makes the skill discoverable alongside `kanban-orchestrator`
and `kanban-worker`, and signals up front that this skill drives the kanban
plugin rather than being a generic video tool.
Updated:
- directory rename
- SKILL.md frontmatter `name:` and H1
- setup.sh.tmpl header
Meta-pipeline that wraps any video request — narrative film, product /
marketing, music video, explainer, ASCII, generative, comic, 3D,
real-time/installation — in a Hermes Kanban pipeline. Performs adaptive
discovery, designs an appropriate team for the requested style, generates
the setup script that creates Hermes profiles + initial kanban task, and
helps monitor execution.
Routes scenes to whichever existing Hermes skill fits each beat
(`ascii-video`, `manim-video`, `p5js`, `comfyui`, `touchdesigner-mcp`,
`blender-mcp`, `pixel-art`, `baoyu-comic`, `claude-design`, `excalidraw`,
`songsee`, `heartmula`, …) plus external APIs for TTS, image-gen, and
image-to-video. Kanban orchestration uses the `kanban-orchestrator` and
`kanban-worker` skills.
The single-project workspace layout, profile-config patching pattern,
SOUL.md-per-profile model, and `--workspace dir:<path>` discipline are
adapted from alt-glitch's original kanban-video-pipeline at
https://github.com/NousResearch/kanban-video-pipeline. This skill
generalizes those patterns across video styles and replaces the original
string-replacement config patcher with a PyYAML-based one that touches
only `toolsets` and `skills.always_load` (preserving security-sensitive
fields like `approvals.mode`).
Includes:
- SKILL.md — workflow + critical rules
- references/ — intake, role archetypes, tool matrix, kanban setup,
monitoring, six worked examples
- assets/ — brief / setup.sh / soul.md templates
- scripts/ — bootstrap_pipeline.py (plan.json -> setup.sh) and
monitor.py (poll + issue detection)
Co-authored-by: alt-glitch <balyan.sid@gmail.com>
Intended placement per PR #17610 discussion — comfyui belongs in
skills/creative/ alongside other creative built-ins (touchdesigner-mcp,
pretext, sketch), not in optional-skills/.
Pure directory rename, no content changes. History preserved via git mv.
Adds Step 0 'Ask Local vs Cloud' as the very first onboarding step, with a
scripted question that spells out the hardware requirements for local
(6 GB VRAM NVIDIA, ROCm AMD on Linux, or M1+ Mac with 16 GB unified)
and routes Cloud users straight to Path A without a hardware check.
Hardware check becomes Step 1, run only when the user picked local.
Layers a programmatic hardware-feasibility check on top of the v4 skill
so the agent doesn't silently push users toward a local install they
can't actually run. The official comfy-cli supports --nvidia / --amd /
--m-series / --cpu, but has no guard against "4 GB laptop GPU on SDXL"
or "Intel Mac falling back to CPU" — both route to comfy-cli paths in
the original table and then fail on first workflow.
- scripts/hardware_check.py: detect OS/arch/GPU (NVIDIA nvidia-smi,
AMD rocm-smi, Apple M1+ via arm64+sysctl, Intel Arc via clinfo),
VRAM, system/unified RAM. Emits JSON
{verdict: ok|marginal|cloud, recommended_install_path, comfy_cli_flag}
with practical thresholds: discrete GPU >=6 GB VRAM minimum,
Apple Silicon >=16 GB unified memory minimum, Intel Mac -> cloud,
no accelerator -> cloud. comfy_cli_flag maps directly to
`comfy install` so the agent can stitch the whole flow together.
- scripts/comfyui_setup.sh: runs hardware_check.py first when no
explicit flag is passed. If verdict=cloud, refuses to install
locally, prints Comfy Cloud URL + an override command, exits 2.
Otherwise auto-selects the right --nvidia/--amd/--m-series flag
for `comfy install`. Surfaces marginal-verdict notes to the user.
- SKILL.md Setup & Onboarding: adds mandatory Step 0 "Check If This
Machine Can Run ComfyUI Locally" ahead of the Path A-E selection.
Documents the verdict thresholds inline, ties verdict + comfy_cli_flag
to the install paths, and updates the path-choice table so
"verdict: cloud" is the first row. Quick-Start "Detect Environment"
block extended to include the hardware check. Verification
checklist gains a hardware-check gate.
- Frontmatter setup.help rewritten to point at hardware_check.py
first. Version bumped 4.0.0 -> 4.1.0.
Merges pixel-art-arcade and pixel-art-snes into one pixel-art skill with
named presets (arcade, snes) + parametric overrides. The underlying
pipeline was already identical across both variants — only palette size,
block size, and enhancement strength differed. A single preset-based
function is easier to discover, maintain, and extend (adding a new era
like gameboy or nes is just another preset dict).
Contributor authorship preserved on original additive commit.
Discovered while dogfooding the skill end-to-end:
- pgrep -if "TouchDesigner" matched any shell whose command line
contained the substring (including the setup script's own invocation
under certain wrappers), falsely reporting TD running on machines
where it isn't. Switch to pgrep -x (exact process name match,
supported on both macOS and Linux) and also check TouchDesignerFTE
(the non-commercial variant).
- The embedded python3 yaml-writer printed 'added' / 'exists' to
stdout as status, which leaked a stray word into the setup output
right before the ✔ line. Drop the print()s — the bash-level ✔/✘ is
the status indicator.
- Remove orphan skills/creative/touchdesigner/references/pitfalls.md
left over from the rename commit (git add-then-edit instead of git mv
meant the old file never got deleted).
- Honour $HERMES_HOME in setup.sh and SKILL.md setup invocation so
profile-aware installs work correctly.
- Fix troubleshooting.md config path to use $HERMES_HOME instead of
hardcoding ~/.hermes/.
- Add touchdesigner-mcp entries to skills-catalog.md and
optional-skills-catalog.md for parity with blender-mcp/meme-generation.
teknium1
Stoltemberg
Love-JourneY
SHL0MS
kshitijk4poor
SHL0MS
Siddharth Balyan
kshitijk4poor
Rames Jusso
James
alt-glitch
Teknium
dodo-reach