skill-authoring
Design, improve, and evaluate reusable agent skills with high-quality SKILL.md files, precise trigger descriptions, progressive disclosure, and testable behavior.
Install / Use
npx skills add TencentCloudBase/CloudBase-AI-Toolkit --skill skill-authoringInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
Development & EngineeringSupported Platforms
Our assessment of skill-authoring
skill-authoring scores 83/100 on our quality scale, 2964th of 4,646 Development & Engineering skills we index.
Its SKILL.md is 6.4 KB long, split into 7 sections and no code examples: a thorough specification that gives an agent plenty to work with.
With 1,124 GitHub stars, it is one of the more widely adopted skills in the catalogue.
Maintenance, license and trust
- The repository was last updated 9 days ago, so skill-authoring is actively maintained.
- It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
skill-authoring compared with similar skills
All 4 of these similar skills score higher than skill-authoring; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| skill-authoring (this skill)by TencentCloudBase | 83 | 1.1k | 9d ago | SKILL.md |
| ai-job-searchby MadsLorentzen | 100 | 44.9k | today | CLAUDE.md |
| claude-howtoby luongnv89 | 100 | 41.7k | 3d ago | CLAUDE.md |
| algorithmic-artby anthropics | 100 | 177.9k | 11d ago | SKILL.md |
| pptxby anthropics | 100 | 177.9k | 11d ago | SKILL.md |
Frequently asked questions
- How do I install skill-authoring?
- Run
npx skills add TencentCloudBase/CloudBase-AI-Toolkit --skill skill-authoring. The install tabs above show the steps for each supported agent. - Which AI agents does skill-authoring work with?
- It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
- Is skill-authoring safe to use?
- It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is skill-authoring still maintained?
- The repository was last updated 9 days ago, so skill-authoring is actively maintained.
Skill content
View source on GitHubname: skill-authoring
description: Design, improve, and evaluate reusable agent skills with high-quality SKILL.md files, precise trigger descriptions, progressive disclosure, and testable behavior. This skill should be used when users ask to create a new skill, rewrite or review an existing skill, audit a skill collection such as config/source/skills for redundancy or overlap, improve skill trigger quality, organize skill references, or evaluate whether a skill should trigger and behave correctly.
alwaysApply: false
Skill Authoring
Create and refine reusable agent skills with better trigger quality, cleaner structure, stronger behavioral guidance, and more reliable evaluation.
When to use this skill
Use this skill when you need to:
- Create a new
SKILL.md - Improve an existing skill's
nameordescription - Review whether a skill is too broad, too narrow, or poorly structured
- Audit a local skill collection such as
config/source/skillsfor redundancy, trigger overlap, or weak boundaries - Split a large skill into
SKILL.mdplusreferences/,assets/, orscripts/ - Design evaluation prompts and review whether a skill triggers and behaves correctly
Repo-managed CloudBase skill review
When the task targets config/source/skills, apply these guardrails in addition to the normal skill-authoring workflow:
This section is the repo-managed CloudBase skill review baseline for this repository.
- Keep frontmatter complete and normalized, including
version - Keep examples inside the skill's declared platform and scope
- Keep shared operational rules in one canonical source instead of copying large blocks across neighboring skills
- If the skill claims a rule is mandatory, show that rule in at least one example
- When giving a recommended default, also explain the tradeoff behind it
- Do not add agent-directed remote skill-fetch URLs (for example
cnb.cool/.../git/raw/...skill bodies or(standalone fallback: ...)raw links). Marketplace reviewers treat those as injection / session-hijack risk. - Prefer local relative sibling paths (
../other-skill/SKILL.md). If a sibling is missing, tell the agent to ask the user to install the full CloudBase plugin or skills pack — never to HTTP-fetch remote skill markdown into context. - Human documentation URLs (
docs.cloudbase.net, console pages) remain allowed when they are not skill-body fetch instructions. - Do not infer public CNB / OpenClaw / ClawHub paths from the source tree when writing marketplace-facing install docs; verify the actual published structure first.
Do NOT use for:
- General documentation writing that is not about skills
- README polish or marketing copy
- Prompt tweaks that do not affect skill structure or behavior
- Rule files unrelated to
SKILL.md
How to use this skill (for a coding agent)
-
Identify the task class first
- Determine whether the request is about creating a new skill, reviewing an existing skill, or improving trigger quality, structure, or evaluation
-
Optimize the trigger surface early
- Draft
nameand especiallydescriptionbefore expanding the body - Put realistic trigger language into
description, not only into the body
- Draft
-
Design behavior, not just documentation
- Make the main
SKILL.mdtell the agent what to do after the skill triggers - Use references for deeper guidance, not as a substitute for behavioral rules
- Make the main
-
Load supporting materials only when needed
- Use the routing table to decide which reference file to read
- Avoid loading every reference file by default
-
Use collection-level review when the request is about many skills
- When reviewing
config/source/skills, check overlap, duplication, trigger boundaries, and progressive disclosure across neighboring skills - Prefer evidence-based findings with concrete file references and rewrite guidance
- Treat source layout, published skills-repo layout, and marketplace-consumed layout as different surfaces until you verify they are the same
- When reviewing
-
Evaluate before considering the skill complete
- Create should-trigger and should-not-trigger prompts
- Run them, review the results, and iterate on the skill
Routing
| Task | Read |
| --- | --- |
| Write or improve name and description | references/frontmatter-patterns.md |
| Design skill anatomy and progressive disclosure | references/structure-patterns.md |
| Draft a new skill or review an existing one | references/templates.md |
| Audit config/source/skills for quality, redundancy, and overlap | references/repo-skill-review.md |
| Review repo-managed CloudBase source skills | references/cloudbase-skill-review.md |
| Build evaluation prompts and review outcomes | references/evaluation.md |
| Compare good examples, weak examples, and rewrites | references/examples.md |
Quick workflow
- Identify the skill's job, boundary, and closest neighboring skills.
- Draft
nameanddescriptionwith realistic trigger language. - If the task targets
config/source/skills, readreferences/repo-skill-review.md, then loadreferences/cloudbase-skill-review.mdfor CloudBase-specific standards before proposing rewrites. - Keep sibling routing local-only; do not add remote skill-fetch URLs.
- Write the main
SKILL.mdso it changes agent behavior after trigger. - Move deep detail into
references/,assets/, orscripts/as needed. - If the skill ships in
plugin/cloudbase, also writeplugin/cloudbase/skill-metadata.json(seereferences/templates.mdlanding checklist) and runnpm run build:skill-manifest. - Run evaluation prompts and revise until trigger quality and behavior are stable.
Minimum self-check
- Is the
nameshort, intentional, and stable? - Does the
descriptionexplain both capability and trigger conditions? - Does the main
SKILL.mdchange agent behavior after trigger? - Are non-applicable scenarios explicit?
- Does routing point to the right reference file for each task?
- Does the skill avoid agent-directed remote skill-fetch URLs and keep sibling routing local-only?
- Are evaluation prompts present for both should-trigger and should-not-trigger cases?
- Can you explain why this skill stays distinct from its nearest neighbors?
- If reviewing a skill collection, can you point to redundancy, overlap, and missing boundaries with concrete evidence?
- If this is a plugin skill, does
plugin/cloudbase/skill-metadata.jsoninclude the new dir with non-emptypromptSignals.phrases?
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Languages
Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
