a11y-check
Accessibility audit, scoped to the surfaces a product actually has. Detects web / rendered_markdown / terminal / native_app / video_audio / document /…
Update canvas sections with new evidence. Ensures canvas stays current as the single source of truth.
$ npx -y skills add haabe/mycelium --skill canvas-update --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/canvas-updateContext preview
The summary Claude sees to decide when to auto-load this skill.
Update canvas sections with new evidence. Ensures canvas stays current as the single source of truth.
name: canvas-update description: "Update canvas sections with new evidence. Ensures canvas stays current as the single source of truth." metadata: instruction_budget: "12" framework_dependency: "mycelium" framework_dependency_note: "This skill is designed to run within the Mycelium framework (https://github.com/haabe/mycelium). Standalone use will skip the canvas state, theory gates, and harness behavior the skill assumes. Install: /plugin install mycelium@haabe-mycelium."
**Hard rule.** Before issuing `Write` or `Edit` against any `.claude/canvas/*.yml`, use the **Read tool** on that file in this session. Claude Code's Read-before-Write check requires the `Read` tool specifically — `cat`/`head`/`grep` via Bash do NOT satisfy it.
**Edit vs Write — different cost profiles** (verified 2026-05-14):
**ID-bearing entries — scan the ID space before assigning** (added 2026-05-15, v0.23.19): When adding a new component, opportunity, solution, or any other ID-bearing entry to a canvas file, run a Bash grep first to confirm the next ID in your prefix sequence is actually free:
grep -o "<prefix>-[0-9][0-9]*" .claude/canvas/<file>.yml | sort -u -t- -k2 -n | tail -3
Replace `<prefix>` with the canvas's ID prefix (`comp` for landscape, `opp` for opportunities, `sol` for solutions, `ht` for human-tasks, etc.). Then pick the next free integer, **matching the zero-padding already used in that file**. The sort is NUMERIC (`-t- -k2 -n`) rather than lexical, and that is not pedantry: a plain `sort -u` orders `ht-1` after `ht-080`, so on a canvas with inconsistent padding it reports the wrong maximum and the next ID collides. Verified on the dogfood repo 2026-08-13, where lexical sort returned `ht-1` as the highest human-task ID against an actual `ht-080`. `grep -o` is also deliberate: it matches IDs wherever they appear, including cross-references and prose, so an ID that was promised somewhere but not yet defined is not handed out twice. `validate_canvas.py` has a duplicate-ID check (lines 230-239) that catches the failure on CI, but a duplicate can persist in the working tree for days if CI isn't run between edit and discovery — see roadmap-repo `corrections.md` 2026-05-15 "Duplicate canvas ID created in landscape.yml" for the worked example.
Original failure mode: anti-pattern #7 instance #5, 2026-05-09 — agent conflated Bash `head` with the Read tool, lost ~14k tokens to a Write-fail → remedial-full-Read → re-Write loop. The `limit:1` discipline (graduated 2026-05-14, v0.23.18) prevents the second-order cost where the agent *correctly* follows the rule but full-Reads every time. The ID-scan discipline (graduated 2026-05-15, v0.23.19) prevents the related class where the agent reads enough of the file to satisfy the Edit check but not enough to see existing ID assignments — kin to anti-pattern #8 (Stale State Read).
If this skill writes to multiple canvas files, register each one first (limit:1 for Edit-only paths; full Read for Write paths) AND ID-scan any prefix you intend to assign.
See `CLAUDE.md` *Canvas writes — Read before Write* for the canonical rule.
1. **Never update without evidence** -- every canvas change must have a source 2. **Maintain cross-file consistency** -- if you update opportunities.yml, check if north-star.yml or gist.yml need updates too 3. **Log the update** -- add an entry to .claude/harness/decision-log.md explaining what changed and why
> **Routing rule (Hick's Law, added v0.39.18)**: when the new information could plausibly fit multiple canvas files, recommend ONE primary destination based on the information's PRIMARY type (the "why" of the data), with at-most-one secondary cross-reference. Do not present a flat list of candidate files for the user to choose from; that manufactures decision-tax. The table below maps each information type to its canonical canvas file — pick the row whose information type best describes what's being added, not the row whose source-theory the agent finds most interesting.
| Information Type | Canvas File | Source | |-----------------|-------------|--------| | Purpose, mission, why | purpose.yml | Sinek | | North Star metric, inputs | north-star.yml | North Star Framework | | BVSSH health scores | bvssh-health.yml | Smart | | Value chain, competitive | landscape.yml | Wardley | | Team structure | team-shape.yml | Skelton | | User opportunities, OST | opportunities.yml | Torres | | User needs map | user-needs.yml | Allen | | Goals, ideas, steps | gist.yml | Gilad | | Service quality scores | services.yml | Downe | | Go-to-market, positioning | go-to-market.yml | Lauchengco | | Delivery performance | dora-metrics.yml | Forsgren | | Security threats | threat-model.yml | OWASP | | Privacy assessment | privacy-assessment.yml | GDPR/PbD | | Trust architecture | trust-signals.yml | Digital Trust | | Jobs to be done | jobs-to-be-done.yml | Christensen | | Bounded contexts | bounded-contexts.yml | Evans (DDD) | | Value stream map | value-stream.yml | Rother & Shook (VSM) | | Content delivery metrics | content-metrics.yml | v0.11.0 | | AI tool delivery metrics | ai-tool-metrics.yml | v0.11.0 | | Service delivery metrics | service-metrics.yml | v0.11.0 | | Human task tracking | human-tasks.yml | v0.11.0 | | Archived/discarded solutions | archived-solutions.yml | v0.12.0 | | Leaf lifecycle calibration | cycle-history.yml | v0.12.0 |
A harness that asks who this is for before the agent writes code. Built on Claude Code, where the gates are structural. The files and skills port to opencode, Codex and Cursor. Outcome over output. You know how this goes.
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