Agent skill

Common Skill Creator

by HoangNguyen0403 in HoangNguyen0403/agent-skills-standard

Standardizes the creation and evaluation of high-density Agent Skills (Claude, Cursor, Windsurf).

MITAuto-check passedAgent Workflows

Install Common Skill Creator

skills CLI
$ npx skills add HoangNguyen0403/agent-skills-standard --skill common-skill-creator -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install HoangNguyen0403/agent-skills-standard common-skill-creator --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/HoangNguyen0403/agent-skills-standard.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/common/common-skill-creator .claude/skills/common-skill-creator && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
common-skill-creator
GitHub stars
572
Token cost
~1.7k tokens
SKILL.md length
712 words
Files
13 (incl. references)
Skills in repo
211
Repo updated
First seen
Licence
MIT

At a glance

Standardizes the creation and evaluation of high-density Agent Skills (Claude, Cursor, Windsurf).

  • Works in 12 steps: Research — web-search domain best… → Capture intent — what it , when it… → Draft the SKILL.md — draft using… → …
  • Auditing SKILL.md
  • SKILL.md covers Priority: P0 (CRITICAL), Three-Level Loading System, Workflow (New or Existing Skill) and Description Quality (Activation), plus 5 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Common Skill Creator is an agent skill from HoangNguyen0403/agent-skills-standard. Standardizes the creation and evaluation of high-density Agent Skills (Claude, Cursor, Windsurf). Ensures skills achieve high Activation (specificity/completeness) and Implementation (conciseness/actionability) scores. Use when: writing or auditing SKILL.md, improving trigger accuracy, or refactoring skills to reduce redundancy and maximize token ROI.

Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 14 other files, including reference files (for example `evals/evals.json`, `references/TEMPLATE.md` and `references/anti-patterns.md`).

It sits in Agent Workflows, covering Skill authoring and Refactoring. The repository describes itself as: A collection of Agent Skills Standard and Best Practice for Programming Languages, Frameworks that help our AI Agent follow best practies on frameworks and programming laguages. The licence is MIT.

When your agent uses it

  • Auditing SKILL.md
  • Improving trigger accuracy
  • Refactoring skills to reduce redundancy and maximize token ROI

Example prompts

  • “Use the common-skill-creator skill to standardiz the creation and evaluation of high-density Agent Skills (Claude, Cursor, Windsurf)”
  • “/common-skill-creator”

Workflow steps

12 steps, taken from the first numbered list in SKILL.md.

  1. Research — web-search domain best practices, checklists, and standards; extract key terms → triggers, workflows → guidelines, mistakes →…
  2. Capture intent — what it , when it trigger, expected output format?
  3. Draft the SKILL.md — draft using TEMPLATE.md
  4. Test — spawn parallel subagents: one with-skill, one without-skill (baseline)
  5. Evaluate — grade assertions, review benchmark (pass rate, tokens, time)
  6. Iterate — rewrite based on feedback, rerun into next iteration dir, repeat
  7. Optimize description — run trigger eval queries, target ≥80% accuracy
  8. Pressure-test — for discipline skills, capture agent excuses, red flags, and stop conditions
  9. Audit — run Quality Checklist below; identify violations
  10. Snapshot — cp -r /skill-snapshot/ before any edits
  11. Improve SKILL.md — fix violations, compress, move oversized content to references/
  12. Test — spawn parallel subagents: one with-new-skill, one with-snapshot (baseline)

What it can do on your machine

Read from SKILL.md and the folder at commit b529c2d. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Common Skill Creator loads about 1.7k tokens when it runs, and up to ~12k if it reads all its reference files. Until then it costs about 94 tokens; SKILL.md has 712 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~94
When it runs · the whole SKILL.md, loaded when a task matches
~1.7k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~12k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from HoangNguyen0403/agent-skills-standard at commit b529c2d, republished under its MIT licence (© HoangNguyen0403). 712 words, ~1,693 tokens.

Download SKILL.mdSave it as .claude/skills/common-skill-creator/SKILL.md (or your agent's skills folder). This skill also uses 12 other files; get the full folder from GitHub.
name
common-skill-creator
description
Standardizes the creation and evaluation of high-density Agent Skills (Claude, Cursor, Windsurf). Ensures skills achieve high Activation (specificity/completeness) and Implementation (conciseness/actionability) scores. Use when: writing or auditing SKILL.md, improving trigger accuracy, or refactoring skills to reduce redundancy and maximize token ROI.

Agent Skill Creator Standard

Priority: P0 (CRITICAL)

Applies to every skill in this registry. Maximize Token ROI. Every line in SKILL.md must provide specific procedural value. Activation (how it triggers) and Implementation (how it helps) primary quality metrics.

Three-Level Loading System

  • Level 1 Frontmatter: name + description (Activation Anchor), ≤100 words.
  • Level 2 SKILL.md body: Core Rules + Workflows (Implementation Core), ≤100 lines.
  • Level 3 references/: Detailed examples, schemas, and "TESTS.md" (On-demand).

Workflow (New or Existing Skill)

New skill:

  1. Research — web-search domain best practices, checklists, and standards; extract key terms → triggers, workflows → guidelines, mistakes → anti-patterns. See Web Search Research.
  2. Capture intent — what it , when it trigger, expected output format?
  3. Draft the SKILL.md — draft using TEMPLATE.md
  4. Test — spawn parallel subagents: one with-skill, one without-skill (baseline)
  5. Evaluate — grade assertions, review benchmark (pass rate, tokens, time)
  6. Iterate — rewrite based on feedback, rerun into next iteration dir, repeat
  7. Optimize description — run trigger eval queries, target ≥80% accuracy
  8. Pressure-test — for discipline skills, capture agent excuses, red flags, and stop conditions Existing skill:
  9. Audit — run Quality Checklist below; identify violations
  10. Snapshot — cp -r <skill-dir> <workspace>/skill-snapshot/ before any edits
  11. Improve SKILL.md — fix violations, compress, move oversized content to references/
  12. Test — spawn parallel subagents: one with-new-skill, one with-snapshot (baseline)
  13. Evaluate & iterate — same as steps 4–5 above
  14. Optimize description — re-run trigger eval if description changed
  15. Harden — add rationalization counters where agents still fail under pressure See Eval Workflow for full testing + iteration details.

Description Quality (Activation)

  • Third-Person Voice: Use Standardizes..., Audits..., Encrypts.... Avoid "I will" or "This skill helps to".
  • What + When Structure:
  • What: Define 5–8 specific capabilities (e.g., "Generates JWT tokens, rotates keys").
  • When: Explicitly define triggers (e.g., "Use when user says 'rotate keys'").
  • Specificity: Avoid vague verbs like "manage" or "handle". Use "Validate", "Inject", "Refactor", "Sanitize".
  • Trigger Hint: Include (triggers: *.ext, keyword) suffix for technical skills.

Content Quality (Implementation)

  • No Redundant Knowledge: Do NOT explain concepts AI already knows (e.g., standard HTTP codes, common language syntax, basic SOLID definitions). Focus strictly on project-specific rules and constraints.
  • Readable Compact Style: Size is an editorial budget, not a behavioral quality claim. Prefer readable, compact, imperative language over filler words, conversational phrasing, or speculative prose.
  • Actionability: Examples must be copy-paste ready and executable.
  • Workflow Clarity: Use sequential ordered lists for multi-step processes.
  • Progressive Disclosure: Move code blocks >10 lines to references/.
  • Pressure Hardening: Discipline skills must name red flags, common excuses, and exact stop/restart conditions.
Show full SKILL.md (304 more words)Show less

Evidence Tiers & Guardrails

  • Three Evidence Tiers: Distinguish (1) structural checks (line counts, frontmatter schema), (2) textual transcript evidence (assertions, rationalization counters), and (3) executable outcomes (runnable verification, verifier pass/fail).
  • Rule Retirement & Ablation: A rule is a candidate for retirement when repeated, representative, risk-appropriate evaluations (including adversarial cases) show zero regression without it. Candidate status does not authorize removing safety or approval controls; retain host and safety guardrails until verified deterministic runtime enforcement replaces them.
  • Pressure Scenarios: For discipline skills, record rationalizations agents use to skip rules, define red flags that trigger immediate stop/restart, and score against observable evidence.

Anti-Patterns

  • No "AI-splaining": Do not explain why a pattern is good unless it is a unique project constraint.
  • No Answer-Anchor Padding: Do not insert arbitrary keywords or phrases solely to satisfy string-match tests.
  • No Vague Triggers: Never use src/** or **/*. Keep triggers surgical.
  • No Description Bloat: If description exceeds 100 words, move capabilities to body.
  • No Long Code Blocks: Blocks >10 lines must be extracted to references/.
  • No Untested Guardrails: Rules not validated against baseline failure are unverified speculation.

Quality Checklist (Tessl-Aligned)

  • Activation ≥ 90%: Description covers capabilities ("What") and triggers ("When").
  • Implementation ≥ 90%: No general-purpose explanations; all examples executable.
  • Structural Compliance: SKILL.md ≤ 100 lines; code blocks moved to references/.
  • Trigger rate ≥80% on should-trigger queries.
  • Guardrail skills include rationalizations, red flags, behavior eval fields, and should/should-not trigger cases.

References

© HoangNguyen0403, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 12 other files (references) in skills/common/common-skill-creator of HoangNguyen0403/agent-skills-standard.

  • SKILL.md
  • evals/evals.json
  • references/TEMPLATE.md
  • references/anti-patterns.md
  • references/benchmark.md
  • references/eval-workflow.md
  • references/lifecycle.md
  • references/resource-organization.md
  • references/rubric.md
  • references/size-limits.md
  • references/tessl-best-practices.md
  • references/testing.md
  • references/web-search-research.md

Open the folder on GitHubat commit b529c2d

Compare with similar skills

Common Skill Creator next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Common Skill Creator compared with similar skills
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Common Skill Creator this skillHoangNguyen0403/agent-skills-standard572—~1.7kAutomated safety check: PassMIT
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Build Cs Skillcodestable/CodeStable1.1k—~3kAutomated safety check: PassNone
Aliyun Skill Creatorcinience/alicloud-skills397—~2.8kAutomated safety check: PassApache-2.0
Skill Creatordkyazzentwatwa/chatgpt-skills116—~444Automated safety check: PassApache-2.0
Skill Writingmillionco/expect3.6k—~1.8kAutomated safety check: PassCustom licence

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Categories

Questions about Common Skill Creator

What does Common Skill Creator do?

Standardizes the creation and evaluation of high-density Agent Skills (Claude, Cursor, Windsurf). Common Skill Creator is an agent skill from HoangNguyen0403/agent-skills-standard. Standardizes the creation and evaluation of high-density Agent Skills (Claude, Cursor, Windsurf).

When should I use Common Skill Creator?

Common Skill Creator fits situations like: auditing SKILL.md; improving trigger accuracy; refactoring skills to reduce redundancy and maximize token ROI.

How do I install Common Skill Creator in Claude Code?

Run `npx skills add HoangNguyen0403/agent-skills-standard --skill common-skill-creator -a claude-code`. Or copy the skill folder (skills/common/common-skill-creator in HoangNguyen0403/agent-skills-standard) into .claude/skills/common-skill-creator in your project. Claude Code loads it when a task matches its description.

How do I install Common Skill Creator in Codex?

Run `npx skills add HoangNguyen0403/agent-skills-standard --skill common-skill-creator -a codex`. Or copy the skill folder (skills/common/common-skill-creator in HoangNguyen0403/agent-skills-standard) into .agents/skills/common-skill-creator in your project. Codex loads it when a task matches its description.

Can I use Common Skill Creator in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add HoangNguyen0403/agent-skills-standard --skill common-skill-creator -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/common-skill-creator, .gemini/skills/common-skill-creator, .github/skills/common-skill-creator and .opencode/skills/common-skill-creator in your project.

What does Common Skill Creator need to run?

SKILL.md names no scripts, command-line tools or credentials: Common Skill Creator is instructions for the agent only.

Does Common Skill Creator access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Common Skill Creator safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Common Skill Creator use?

Common Skill Creator is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Common Skill Creator use?

About 1.7k tokens (SKILL.md is roughly 6.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 9.9k tokens, read only when the agent opens those files.

What are the alternatives to Common Skill Creator?

Skills that share tags, products or a category with Common Skill Creator: Auto Skill Builder (tradecatlabs/vibe-coding-cn, 17k stars), Build Cs Skill (codestable/CodeStable, 1.1k stars), Aliyun Skill Creator (cinience/alicloud-skills, 397 stars) and Skill Creator (dkyazzentwatwa/chatgpt-skills, 116 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Common Skill Creator?

HoangNguyen0403 (a GitHub user) maintains it in HoangNguyen0403/agent-skills-standard, which has 572 GitHub stars. The repository holds 211 skills in this directory. The repository was last updated on October 9, 2026.

Source: HoangNguyen0403/agent-skills-standard on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.