skill-authoring-review · v0.1.0 · 2026-05-21 · sha256 2a07b1b0831eae63
skill-authoring-review v0.1.0A
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--- name: skill-authoring-review description: Create or review Agent Skills with correct SKILL.md frontmatter, trigger descriptions, concise workflow design, progressive disclosure, references, scripts, assets, safety rules, and installability. Use when writing a new skill, improving an existing skill, or validating a public skills repo. license: Apache-2.0 metadata: internal: true author: stark-ai-de category: skill-maintenance version: "0.1.0" --- # Skill Authoring Review ## Goal Create or review an Agent Skill so another agent can use it reliably with minimal context, clear routing, safe bundled resources, and a concrete output contract. ## When to use - The user asks to create, rewrite, or review a skill. - A public skill repository needs an installability or quality check. - A skill has vague triggers, oversized instructions, unsafe scripts, or missing artifacts. ## When not to use - The user is asking to execute a domain workflow that an existing skill already covers. - The task is ordinary repository review with no skill authoring surface. - The user only needs installation help; use `skill-installation-support`. ## Inputs to inspect - `SKILL.md` frontmatter and body. - `references/`, `scripts/`, `assets/`, and `agents/` folders. - README catalog entries and install commands when reviewing a repo. - Validation output from `npm run validate` or an equivalent checker. ## Review rubric Check that `name` matches the folder, uses lowercase hyphen-case, and appears with a clear `description`. The description must front-load trigger words because it is the routing surface. The body should state goal, scope, workflow, safety rules, output format, completion criteria, and failure modes. Read `references/skill-quality-rubric.md` when doing a scored review. Read `references/frontmatter-examples.md` when rewriting descriptions. ## Workflow 1. Inspect the skill path and identify the intended workflow. 2. Validate frontmatter syntax, name matching, and description routing quality. 3. Check progressive disclosure: keep core steps in `SKILL.md` and move long examples or rubrics into references. 4. Review scripts for deterministic behavior, clear documentation, and safe defaults. 5. Verify output artifacts are concrete enough for a future agent to act on. 6. Run available validation commands when working in a repository. 7. Return blocking issues first, followed by improvements and a concise rewrite plan. ## Safety rules - Do not copy proprietary or unclear-license skill text into a public skill. - Do not add scripts that mutate files, call services, or install globally without an approval gate. - Keep secrets, private repo paths, customer data, and internal hostnames out of examples. ## References Read only when needed: - `references/frontmatter-examples.md` - `references/skill-quality-rubric.md` ## Scripts No bundled scripts. ## Output format Return: 1. Verdict 2. Blocking issues 3. Non-blocking improvements 4. Suggested frontmatter or section rewrites 5. Validation result 6. Remaining risks ## Failure modes - If the skill purpose is unclear, ask for concrete trigger examples before rewriting. - If scripts appear destructive or credential-sensitive, stop and call out the risk before suggesting execution. - If installability cannot be tested locally, say which command could not run and why. ## Completion criteria - Frontmatter is valid and routeable. - The skill performs one workflow with clear exclusions. - References and scripts are discoverable but not loaded by default. - Safety constraints and output artifacts are explicit.