skill-authoring
- Repo stars 289
- Author updated Live
- Author repo claude-night-market
- Domain
- Engineering
- Compatible agents
-
- Claude Code
- Cursor
- Cline
- Codex
- Windsurf
- Gemini CLI
- +20
- Trust score
- 88 / 100 · community maintained
- Author / version / license
- @athola · no license declared
- Token usage
- Lean
- Setup complexity
- Plug-and-play
- External API key
- Not required
- Operating systems
- Windows
- Runtime requirements
- Python
- Permissions
-
- Read-only
- Write / modify
- Network behavior
- Local-only
- Install commands
- 26 variants
Profile is derived at build time from SKILL.md and install vectors. Subject to drift from author intent.
Heads up: 未限定 allowed-tools,默认拥有全部工具权限。
---
name: skill-authoring
description: Guide creating Claude Code skills with TDD and persuasion principles. Use for new skill developm…
category: engineering
runtime: Python
---
# skill-authoring output preview
## PART A: Task fit
- Use case: Guide creating Claude Code skills with TDD and persuasion principles. Use for new skill development. Writing effective Claude Code skills requires Test-Driven Development (TDD) and persuasion principles from compliance research. We treat skill writing as process documentation that needs empirical validation rather than just theoretical instruction. Skills….
- Inputs: target material, constraints, expected output, and acceptance criteria.
- Evidence boundary: follow “Overview / The Iron Law / Skill Types” and do not present inference as author intent.
## PART B: Execution result
- **01** The card summarizes the use case; runtime output centers on “Guide creating Claude Code skills with TDD and persuasion principles. Use for new skill development. Writing effective Claude Code skills requires Test-Driven Development (TDD) and persuasion principles from compliance research. We treat skill writing as process documentation that needs empirical validation rather than just theoretical instruction. Skills…”.
- **02** When the source has headings, the agent prioritizes “Overview / The Iron Law / Skill Types” so the result follows the author’s structure.
- **03** Typical output includes task judgment, concrete steps, required commands or file edits, validation, and follow-up options.
- **04** Risk context follows the fingerprint: read files, write/modify files; mostly runs locally; usually needs no extra API key.
## Running Rules
- read files, write/modify files; mostly runs locally; usually needs no extra API key.
- Validate with a small sample before expanding scope.
- Return the result, validation criteria, and next iteration options. The source mentions slash commands such as `/skills`; use them first when your agent supports command triggers.
Name target files or source material, expected output, forbidden changes, and whether network or shell access is allowed. Permission fingerprint: read files, write/modify files.
Start with a small task and check whether the result follows “Overview / The Iron Law / Skill Types”. Inspect diffs, logs, previews, or tests before expanding scope.
Confirm the final output includes a concrete result, evidence, and next action. If it stays generic, tighten inputs, boundaries, and acceptance criteria.
---
name: skill-authoring
description: Guide creating Claude Code skills with TDD and persuasion principles. Use for new skill developm…
category: engineering
source: athola/claude-night-market
---
# skill-authoring
## When to use
- Guide creating Claude Code skills with TDD and persuasion principles. Use for new skill development. Writing effective…
- Use it when the task has clear inputs, repeatable steps, and validation criteria.
## What to provide
- Target material, scope, expected result, and forbidden changes.
- Whether network, commands, file writes, or external services are allowed.
## Execution rules
- Organize steps around “Overview / The Iron Law / Skill Types” and keep inference separate from source facts.
- read files, write/modify files; mostly runs locally; usually needs no extra API key.
- Validate with a small sample before expanding the task.
## Output requirements
- Return the deliverable, key evidence, validation method, and next action.
- Mark missing information as unknown; do not invent commands, platforms, or dependencies. The author source anchors workflow facts; repository files anchor sources and commands; Fluxly only adds fit, limitations, and quality judgment.
skill "skill-authoring" {
input -> user goal + target files + boundaries + acceptance criteria
context -> Overview / The Iron Law / Skill Types
rules -> SKILL.md triggers / order / output contract
runtime -> Python | read files, write/modify files | mostly runs locally
guardrails -> usually needs no extra API key + small-sample validation + diff/log review
output -> copyable result + checklist + next iteration
} Skill Authoring Guide
Overview
Writing effective Claude Code skills requires Test-Driven Development (TDD) and persuasion principles from compliance research. We treat skill writing as process documentation that needs empirical validation rather than just theoretical instruction. Skills are behavioral interventions designed to change model behavior in measurable ways.
By using TDD, we ensure skills address actual failure modes identified through testing. Optimized descriptions improve discovery, while a modular structure supports progressive disclosure to manage token usage. This framework also includes anti-rationalization patterns to prevent the assistant from bypassing requirements.
The Iron Law
NO SKILL WITHOUT A FAILING TEST FIRST
Every skill must begin with documented evidence of Claude failing without it. This validates that you are solving a real problem. No implementation should proceed without a failing test, and no completion claim should be accepted without evidence. Detailed enforcement patterns for adversarial verification and coverage gates are available in imbue:proof-of-work.
Skill Types
We categorize skills into three types: Technique skills for specific methods, Pattern skills for recurring solutions, and Reference skills for quick lookups and checklists. This helps organize interventions into the most effective format for the task.
Quick Start
Skill Analysis
```bash
Analyze skill complexity
python scripts/analyze.py
Estimate tokens
python scripts/tokens.py ```
Validation
```bash
Validate skill structure
python scripts/abstract_validator.py --check ```
Verification: Run analysis and review token estimates before proceeding.
Description Optimization
Skill descriptions must be optimized for semantic search and explicit triggering. Follow the formula [What it does] + [When to use it] + [Key triggers]. Use a third-person voice (e.g., "Guides...", "Provides...") and include specific, concrete use cases. Avoid marketing language or vague phrases like "helps with coding."
Skill Character Budget (Claude Code 2.1.32+)
Skill description character budgets now scale with context window at 2% of available context. This means:
| Context Window | Description Budget |
|---|---|
| 200K (Sonnet/Haiku) | ~4,000 characters |
| 1M (Opus 4.6 GA) | ~20,000 characters |
Previously constrained skills can use more descriptive text on larger windows. However, keep descriptions concise regardless — longer is not better. The scaling primarily prevents truncation for skills with legitimately complex trigger conditions, not as an invitation to add verbose content.
Plugin Name Auto-Display (Claude Code 2.1.33+)
Plugin names are now automatically shown alongside skill descriptions in the /skills menu. Do not repeat the plugin name in skill descriptions — it is redundant and wastes character budget. Focus descriptions on what the skill does and when to use it.
The TDD Cycle for Skills
RED Phase: Document Baseline Failures
Establish empirical evidence that an intervention is needed. Create at least three pressure scenarios that combine time pressure and ambiguity. Run these in a fresh instance without the skill active and document the exact failures, such as skipped error handling or missing validation.
GREEN Phase: Minimal Skill Implementation
Create the smallest intervention that addresses the documented failures. Write the SKILL.md with required frontmatter and content that directly counters the baseline failures. Include one example of correct behavior and verify that the same pressure scenarios now show measurable improvement.
REFACTOR Phase: Anti-Rationalization
Eliminate the ability for Claude to explain away requirements. Run pressure scenarios with the skill active to identify common rationalizations, such as claiming a task is "too simple" for the full process. Add explicit counters, such as exception tables and red flag lists, until rationalizations stop.
Anti-Rationalization
Skills must explicitly counter patterns where Claude attempts to bypass requirements. Common excuses include claiming a task is "too simple" or that a "spirit vs letter of the law" approach is sufficient. Skills should include red flag lists for self-checking, such as "Stop if you think: this is too simple for the full process." When exceptions are necessary, document them explicitly to prevent unauthorized shortcuts.
Module References
For detailed implementation guidance:
Core authoring cycle:
- TDD Methodology: See
modules/tdd-methodology.mdfor RED-GREEN-REFACTOR cycle details - Persuasion Principles: See
modules/persuasion-principles.mdfor compliance research and techniques - Description Writing: See
modules/description-writing.mdfor discovery optimization - Progressive Disclosure: See
modules/progressive-disclosure.mdfor file structure patterns - Anti-Rationalization: See
modules/anti-rationalization.mdfor bulletproofing techniques - Graphviz Conventions: See
modules/graphviz-conventions.mdfor process diagram standards
Working with concrete skills (load when implementing or debugging):
- Annotated Examples: See
modules/examples.mdfor walk-throughs of well-authored skills in this repo - Advanced Patterns: See
modules/advanced-patterns.mdfor skill-to-skill coordination, conditional behavior, and scaling across activation contexts - Authentication: See
modules/authentication.mdfor skills that invokegh,glab, MCP servers, or other authenticated tools - Error Handling: See
modules/error-handling.mdfor missing tools, timeouts, partial subagent results, and permission denials - Troubleshooting: See
modules/troubleshooting.mdfor diagnosing skills that do not behave as the test corpus says they should
Validation and deployment (load when shipping):
- Validation: See
modules/validation.mdfor frontmatter parsing, reference resolution, and structural checks before merge - Testing with Subagents: See
modules/testing-with-subagents.mdfor running the Iron Law test in a fresh subagent (andabstract:subagent-testingfor the broader pressure-testing methodology) - Deployment Checklist: See
modules/deployment-checklist.mdfor final validation before promoting a skill
Deployment and Quality Gates
Before deploying, verify that the RED, GREEN, and REFACTOR phases are complete and documented. Frontmatter must be valid, descriptions optimized, and line counts kept under 500 lines. Ensure all module references are valid and at least one concrete example is included.
Scribe Validation
All markdown files must pass scribe validation. This includes a slop scan to ensure a score under 2.5 and doc verification to confirm all file paths and command examples work. Bullet-to-prose ratios must remain under 60% to maintain readability. Use Skill(scribe:slop-detector) and Agent(scribe:doc-verifier) for these checks.
Integration and Best Practices
Individual skills are created using skill-authoring, while modular-skills handles the architecture of larger structures. skills-eval provides ongoing quality assessment. Avoid the common pitfall of writing skills based on theoretical behavior; always use documented failures to guide development. Use progressive disclosure to prevent monolithic files and ensure that each intervention remains focused and token-efficient.
Skill Directory Variable (2.1.69+)
Skills can reference their own directory using
${CLAUDE_SKILL_DIR} in SKILL.md content. This
variable resolves to the absolute path of the
directory containing the SKILL.md file. Use it for
referencing sibling files, data assets, or module
paths without hardcoding absolute paths:
See `${CLAUDE_SKILL_DIR}/modules/advanced-patterns.md`
for detailed patterns.
Run: `python3 ${CLAUDE_SKILL_DIR}/scripts/check.py`
This is especially useful for skills that ship alongside scripts or data files and need portable path references that work regardless of where the plugin is installed.
Description Colon Fix (2.1.69+)
Skill descriptions containing colons (e.g.,
description: "Triggers include: X, Y, Z") previously
failed to load from SKILL.md frontmatter. This is
fixed in 2.1.69. Skills without a description: field
also now appear in the available skills list (previously
they were silently excluded).
Troubleshooting
Common Issues
Skill not loading
Check YAML frontmatter syntax and required fields.
As of 2.1.69, skills without a description: field
still appear in the skills list, but descriptions
with colons must be quoted in YAML frontmatter.
Token limits exceeded Use progressive disclosure - move details to modules
Modules not found Verify module paths in SKILL.md are correct
Decide Fit First
Design Intent
How To Use It
Boundaries And Review