Files
holocron/plugins/kyberforge/.apm/skills/skill-audit/references/description-quality.md
Defame1297 5e232503c4 feat(kyberforge): execute plugin-to-apm marketplace conversion
Why:
ADR-0015 established that Microsoft APM (apm.yml + .apm/) should replace
this repo's hand-authored plugin.json/marketplace.json model, with those
files becoming compiled output of `apm pack` instead of files edited by
hand via the (now-retired) plugin-author/marketplace-author skills.
Issue #90 was the deferred execution of that decision, gated on #88
(apm tooling) and #89 (apm-native agent-author/skill-author routing).

Implementation notes:
- All six plugins (bin, core, git, gitea, kyberforge, lint) now carry
  apm.yml + .apm/{skills,agents,hooks} as their authoring source. Skills
  moved with a plain git mv (content-identical across targets). Agents
  were re-authored, not moved: per ADR-0016, .apm/agents/*.agent.md
  compiles verbatim to both Claude and Copilot, so plugin-scope agents
  now carry only name/description/model/source_keys -- no tools: field,
  no Claude-only knobs (isolation, maxTurns, effort, memory,
  permissionMode).
- Root apm.yml registers all 7 marketplace packages (6 local plus
  mattpocock-skills as a remote entry) under versioning: per_package,
  matching this repo's existing independent-plugin-versioning practice.
- .claude-plugin/marketplace.json and every plugin's plugin.json are now
  apm-pack-compiled output, verified against the prior hand-maintained
  content: same names/descriptions/versions/licenses/authors, only
  cosmetic serialization differences (JSON key order, owner email vs.
  url, Unicode escaping).
- plugin-author and marketplace-author are retired now that apm-based
  authoring fully replaces their job; kyberforge bumped 1.3.1 -> 1.4.0
  for that removal, and the root marketplace catalog bumped
  0.3.1 -> 0.3.2 to match, per the version-bump convention now
  documented in apm-workflow's reference docs instead of a dedicated
  script (apm has no native version-bump automation).
- Fixed hardcoded pre-.apm/ path assumptions across
  .pre-commit-config.yaml, .pre-commit-hooks.yaml,
  scripts/check-scope-walkup-sync.sh, scripts/sync-vale-styles.sh,
  scripts/check-vale-style-sync.sh, six plugins' root plugin.json
  (stale skills/hooks/agents pointer fields that check-manifests.sh
  validates), and several tests/*.bats and tests/*.sh fixtures --
  including a bats REPO_ROOT relative-path depth bug (10 files, one
  extra .apm/ directory level to walk up) and a vale probe-path
  isolation regression introduced mid-fix.
- Corrected empirically-wrong assumptions surfaced this session in
  apm-workflow/apm-install's own reference docs: `apm marketplace
  package add` does not accept local paths (only owner/repo remote
  shorthand -- local packages are registered by editing apm.yml's
  marketplace.packages[] directly); `apm compile` is a consumer-side
  AGENTS.md/CLAUDE.md generator, not the plugin.json producer, and
  hard-fails on skill/agent-only packages without --clean; `apm plugin
  init <name>` nests a stray subdirectory when run with a positional
  name arg from inside a same-named directory; no native Copilot
  marketplace output profile exists; .mcp.json is merged into the
  compiled plugin.json content-aware and target-scoped, with no
  dependencies.mcp entry needed for simple passthrough; pipx is the
  correct pip fallback on externally-managed Python environments.
- Renamed agent-author's copilot.agent.md template asset to
  copilot.agent.md.template so apm compile's recursive *.agent.md glob
  stops misparsing the placeholder template as a real agent primitive.

Impact:
plugin.json and marketplace.json are compiled artifacts from here on --
editing them by hand is no longer the workflow; edit apm.yml/.apm/ and
run apm pack. CONTEXT.md's Plugin/Plugin marketplace glossary entries
reflect this. ADR-0001 is marked superseded, ADR-0006 moot, and
ADR-0010 updated for the new .apm/agents/ path (project/user scope
unaffected, per ADR-0016). Full local verification: claude plugin
validate --strict on all 6 plugins, apm audit --ci, apm marketplace
check, check-manifests.sh, and the full test suite (165/165 bats,
13/13 shell scripts) all pass clean.

Fixes: #90
Refs: #88, #89
ADR: 0015
ADR: 0016

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Ub96PyaSRD9BHPktotj1pC
2026-08-12 18:21:24 +00:00

2.6 KiB

source_keys
source_keys
agentskills-spec
agentskills-optimizing-descriptions

Description Quality Reference

Source: agentskills.io — optimizing-descriptions

How triggering works

At startup, agents load only the name and description of each skill. When a user's task matches a description, the agent reads the full SKILL.md into context. The description carries the entire triggering burden — the body is never seen until after triggering.

Agents typically consult skills only for tasks requiring knowledge beyond their defaults. Specialized knowledge — unfamiliar APIs, domain-specific workflows, uncommon formats — is where description wording makes the difference.

What a good description does

  • Imperative phrasing — "Use when..." not "This skill does...". The agent is deciding whether to act.
  • User intent, not mechanics — describe what the user is trying to achieve, not how the skill works internally.
  • Err toward being pushy — explicitly name contexts where the skill applies, including cases where the user doesn't name the domain: "even if they don't mention X explicitly."
  • Specificity over vagueness — "parses and validates OpenAPI specs" beats "helps with APIs."
  • Near-miss exclusions — add "Do not use when..." only if a near-miss skill exists that could steal activations. Use strong near-misses (queries that share keywords but need something different), not weak ones ("write a fibonacci function").
  • Hard limit: 1024 characters — descriptions grow during revision; check length before finalising.

Before / after

# Weak
description: Process CSV files.

# Strong
description: >
  Analyze CSV and tabular data files — compute summary statistics,
  add derived columns, generate charts, and clean messy data. Use when
  the user has a CSV, TSV, or Excel file and wants to explore, transform,
  or visualize the data, even if they don't explicitly mention "CSV" or
  "analysis."

The strong version names capabilities precisely and broadens applicability beyond explicit keyword matches.

Auditing guidance

Flag as FAIL if:

  • Phrasing is descriptive ("This skill...") not imperative ("Use when...")
  • Capabilities are vague ("helps with APIs") — require precise verbs and nouns
  • No indirect trigger coverage when indirect cases clearly exist
  • No near-miss exclusions when a sibling skill could plausibly steal activations
  • Length exceeds 1024 characters

Flag as SUGGESTION if:

  • Indirect trigger coverage exists but could be more specific
  • Near-miss exclusions are present but target weak near-misses only