skill-standardization
此技能用于技能标准化,包括从头创建新的SKILL.md文件、审计现有技能以符合Agent Skills规范,以及转换旧版技能。
npx skills add supercent-io/skills-template --skill skill-standardizationBefore / After 效果对比
1 组AI 技能描述不规范,缺乏统一结构和元数据,导致 AI 代理难以准确识别和触发相关技能,技能复用性差,效果不稳定。
遵循 AI 技能标准化规范,为每个技能编写清晰、结构化的 `SKILL.md` 文件,包含标准标题、描述和元数据。这提高了技能的可发现性、代理触发的可靠性,并促进了技能的共享和复用。
skill-standardization
Skill Standardization When to use this skill Creating a new SKILL.md file from scratch Auditing existing skills for Agent Skills specification compliance Converting legacy skill formats (non-standard headings, frontmatter) to standard Improving skill descriptions to trigger more reliably on relevant prompts Adding evaluation test cases (evals/evals.json) to a skill Batch-validating all skills in a directory for consistency Agent Skills Specification Reference Frontmatter fields Field Required Constraints name Yes 1–64 chars, lowercase alphanumeric + hyphens, no leading/trailing/consecutive hyphens, must match parent directory name description Yes 1–1024 chars, must describe what skill does AND when to trigger allowed-tools No Space-delimited list of pre-approved tools compatibility No Max 500 chars, environment requirements license No License name or reference to bundled file metadata No Arbitrary key-value map for additional fields Standard directory structure skill-name/ ├── SKILL.md # Required ├── scripts/ # Optional: executable scripts ├── references/ # Optional: detailed documentation ├── assets/ # Optional: templates, images, data └── evals/ # Optional: evaluation test cases └── evals.json Progressive disclosure tiers Tier What's loaded When Token budget 1. Catalog name + description Session start ~100 tokens per skill 2. Instructions Full SKILL.md body On activation < 5000 tokens (500 lines max) 3. Resources scripts/, references/ When needed Varies Instructions Step 1: Validate an existing skill Run the validation script on a skill directory: bash scripts/validate_skill.sh path/to/skill-directory Validate all skills in a directory: bash scripts/validate_skill.sh --all .agent-skills/ The script checks: Required frontmatter fields (name, description) name format: lowercase, no consecutive hyphens, matches directory name description length: 1–1024 characters allowed-tools format: space-delimited (not YAML list) Recommended sections present File length: warns if over 500 lines Step 2: Write an effective description The description field determines when a skill triggers. A weak description means the skill never activates; an over-broad one triggers at wrong times. Template: description: > [What the skill does — list specific operations.] Use when [trigger conditions]. Even if the user doesn't explicitly mention [domain keyword] — also triggers on: [synonym list]. Principles (from agentskills.io): Imperative phrasing — "Use this skill when..." not "This skill does..." User intent, not implementation — describe what the user wants to achieve Be explicit about edge cases — "even if they don't say X" List trigger keywords — synonyms, related terms the user might type Stay under 1024 characters — descriptions grow during editing; watch the limit Before / After: # Before (weak — never triggers) description: Helps with PDFs. # After (optimized — reliable triggering) description: > Extract text and tables from PDF files, fill forms, merge and split documents. Use when the user needs to work with PDF files, even if they don't explicitly say 'PDF' — triggers on: fill form, extract text from document, merge files, read scanned pages. Step 3: Create a new SKILL.md Use this template as the starting point: --- name: skill-name description: > [What it does and specific operations it handles.] Use when [trigger conditions]. Triggers on: [keyword list]. allowed-tools: Bash Read Write Edit Glob Grep metadata: tags: tag1, tag2, tag3 version: "1.0" --- # Skill Title ## When to use this skill - Scenario 1 - Scenario 2 ## Instructions ### Step 1: [Action] Content... ### Step 2: [Action] Content... ## Examples ### Example 1: [Scenario] Input: ... Output: ... ## Best practices 1. Practice 1 2. Practice 2 ## References - Link Step 4: Convert legacy section headings Legacy heading Standard heading ## Purpose ## When to use this skill ## When to Use ## When to use this skill ## Procedure ## Instructions ## Best Practices ## Best practices ## Reference ## References ## Output Format ## Output format Step 5: Add evaluation test cases Create evals/evals.json with 2–5 realistic test prompts: { "skill_name": "your-skill-name", "evals": [ { "id": 1, "prompt": "Realistic user message that should trigger this skill", "expected_output": "Description of what success looks like", "assertions": [ "Specific verifiable claim (file exists, count is correct, format is valid)", "Another specific claim" ] } ] } Good assertions are verifiable: file exists, JSON is valid, chart has 3 bars. Avoid vague assertions like "output is good." Available scripts scripts/validate_skill.sh — Validates a SKILL.md against the Agent Skills spec Examples Example 1: Validate a skill directory bash scripts/validate_skill.sh .agent-skills/my-skill/ Output: Validating: .agent-skills/my-skill/SKILL.md ✓ Required field: name = 'my-skill' ✓ Required field: description present ✗ Description length: 1087 chars (max 1024) ✓ Name format: valid lowercase ✗ Name/directory mismatch: name='myskill' vs dir='my-skill' ✓ Recommended section: When to use this skill ✓ Recommended section: Instructions ⚠ Missing recommended section: Examples ✓ File length: 234 lines (OK) Issues: 2 errors, 1 warning Example 2: Batch validate all skills bash scripts/validate_skill.sh --all .agent-skills/ Example 3: Fix common frontmatter issues # WRONG — tags inside metadata is non-standard for some validators metadata: tags: [tag1, tag2] # list syntax platforms: Claude # non-spec field # CORRECT — per Agent Skills spec metadata: tags: tag1, tag2 # string value allowed-tools: Bash Read Write # space-delimited, not a YAML list Best practices Description quality first — weak descriptions mean the skill never activates; improve it before anything else Keep SKILL.md under 500 lines — move detailed reference docs to references/ Pin script versions — use uvx ruff@0.8.0 not just ruff to ensure reproducibility No interactive prompts in scripts — agents run in non-interactive shells; use --flag inputs, never TTY prompts Structured output from scripts — prefer JSON/CSV over free-form text; send data to stdout, diagnostics to stderr Add evals before publishing — at least 2–3 test cases covering core and edge cases References Agent Skills Specification Optimizing Descriptions Evaluating Skills Using Scripts Adding Skills Support Weekly Installs10.2KRepositorysupercent-io/sk…templateGitHub Stars53First SeenJan 24, 2026Security AuditsGen Agent Trust HubPassSocketFailSnykPassInstalled oncodex10.2Kgemini-cli10.2Kopencode10.2Kgithub-copilot10.1Kcursor10.1Kamp10.1K
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