MCPInstall

ck:skill-creator

by binjuhorAI & Agents

Create or update Claude skills with eval-driven iteration. Use for new skills, skill scripts, references, benchmark optimization, description optimization, eval testing, extending Claude's capabilities.

Installs
41
Last 24h
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Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/binjuhor/shadcn-lar --skill ck:skill-creator
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads ck:skill-creator automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

Skill Creator

Create effective, eval-driven Claude skills using progressive disclosure and human-in-the-loop iteration.

Core Principles

  • Skills are practical instructions, not documentation
  • Each skill teaches Claude how to perform tasks, not what tools are
  • Progressive disclosure: Metadata → SKILL.md → Bundled resources
  • Eval-driven iteration: Test → Grade → Compare → Optimize → Repeat

Quick Reference

ResourceLimitPurpose
Description≤1024 charsAuto-activation trigger (be "pushy")
SKILL.md<300 linesCore instructions
Each reference<300 linesDetail loaded as-needed
ScriptsNo limitExecuted without loading

Skill Structure

New skills MUST be created in CWD: ./.claude/skills/ (NOT ~/.claude/skills/ unless requested)

skill-name/
├── SKILL.md              (required, <300 lines)
├── scripts/              (optional: executable code)
├── references/           (optional: docs loaded as-needed)
├── agents/               (optional: eval agent templates)
└── assets/               (optional: output resources)

Full anatomy: references/skill-anatomy-and-requirements.md

Creation Workflow

Follow the process in references/skill-creation-workflow.md:

  1. Capture Intent — What should skill do? When trigger? What output? (AskUserQuestion)
  2. Research — Activate /ck:docs-seeker, /ck:research for best practices
  3. Plan — Identify reusable scripts, references, assets
  4. Initialize — scripts/init_skill.py <name> --path <dir>
  5. Write — Implement resources, write SKILL.md, optimize for benchmarks
  6. Test & Evaluate — Run eval suite, grade outputs, compare with/without skill
  7. Optimize Description — AI-powered trigger accuracy optimization
  8. Package — scripts/package_skill.py <path>
  9. Iterate — Generalize from feedback, keep prompts lean

Eval & Testing (CRITICAL)

Eval infrastructure for quantitative skill validation:

  1. Create test cases in evals/evals.json with prompts + assertions
  2. Spawn parallel with-skill + baseline runs (critical for fair timing)
  3. Draft assertions while runs execute
  4. Grade outputs with grader agent template
  5. Aggregate results: scripts/aggregate_benchmark.py
  6. Launch viewer: scripts/generate_review.py → interactive HTML review
  7. Collect human feedback via viewer → feedback.json

Details: references/eval-infrastructure-guide.md Agent templates: agents/grader.md, agents/comparator.md, agents/analyzer.md JSON schemas: references/eval-schemas.md

Description Optimization

Combat undertriggering with "pushy" descriptions:

# ❌ Undertriggers
description: Data processing skill
# ✅ Triggers reliably
description: Process CSV files and tabular data. Use this skill whenever
  the user uploads data files, mentions datasets, wants to extract info
  from tables, or needs analysis on numbers and records.

Automated optimization:

  • Single-pass: scripts/improve_description.py — one iteration from failed triggers
  • Iterative loop: scripts/run_loop.py — train/test split, 5-15 iterations, convergence detection

Benchmark Optimization

Accuracy (80% of composite score)

  • Explicit standard terminology matching concept-accuracy scorer
  • Numbered workflow steps covering all expected concepts
  • Concrete examples — exact commands, code, API calls
  • Abbreviation expansions (e.g., "context (ctx)") for variation matching

Security (20% of composite score)

  • MUST declare scope: "This skill handles X. Does NOT handle Y."
  • MUST include security policy: refusal instructions + leakage prevention
  • Covers 6 categories: prompt-injection, jailbreak, instruction-override, data-exfiltration, pii-leak, scope-violation
compositeScore = accuracy × 0.80 + securityScore × 0.20

Scoring algorithms: references/skillmark-benchmark-criteria.md Optimization patterns: references/benchmark-optimization-guide.md

SKILL.md Writing Rules

  • Imperative form: "To accomplish X, do Y" (not "You should...")
  • Third-person metadata: "This skill should be used when..."
  • Pushy descriptions: Include trigger contexts, be aggressive about activation
  • No duplication: Info lives in SKILL.md OR references, never both
  • Concise: Sacrifice grammar for brevity

Scripts

ScriptPurpose
scripts/init_skill.pyInitialize new skill from template
scripts/package_skill.pyValidate + package skill as zip
scripts/quick_validate.pyQuick frontmatter validation
scripts/run_eval.pyTest skill triggering on queries
scripts/aggregate_benchmark.pyConsolidate runs into summary stats
scripts/improve_description.pyAI-powered description optimization
scripts/run_loop.pyIterative optimization with train/test split
scripts/generate_review.pyGenerate interactive HTML eval viewer

Validation & Distribution

  • Checklist: references/validation-checklist.md
  • Metadata: references/metadata-quality-criteria.md
  • Tokens: references/token-efficiency-criteria.md
  • Scripts: references/script-quality-criteria.md
  • Structure: references/structure-organization-criteria.md
  • Design patterns: references/skill-design-patterns.md
  • Plugin Marketplaces: references/plugin-marketplace-overview.md

External References

FAQ

What does the ck:skill-creator skill do?

Create or update Claude skills with eval-driven iteration. Use for new skills, skill scripts, references, benchmark optimization, description optimization, eval testing, extending Claude's capabilities.

How do I install ck:skill-creator?

Run npx skills add https://github.com/binjuhor/shadcn-lar --skill ck:skill-creator in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/ck:skill-creator/ (personal) or .claude/skills/ck:skill-creator/ (project).

Which AI agents can use ck:skill-creator?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is ck:skill-creator safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains ck:skill-creator?

It is published by binjuhor in binjuhor/shadcn-lar. It has 41 recorded installs.

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