--- name: Writing Skills description: TDD for process documentation - test with subagents before writing, iterate until bulletproof when_to_use: when creating new skills, editing existing skills, or verifying skills work before deployment version: 5.1.0 languages: all --- # Writing Skills ## Overview **Writing skills IS Test-Driven Development applied to process documentation.** **Skills are written to `${SUPERPOWERS_SKILLS_ROOT}` (cloned to `~/.config/superpowers/skills/`).** You edit skills in your local branch of this repository. You write test cases (pressure scenarios with subagents), watch them fail (baseline behavior), write the skill (documentation), watch tests pass (agents comply), and refactor (close loopholes). **Core principle:** If you didn't watch an agent fail without the skill, you don't know if the skill teaches the right thing. See skills/testing/test-driven-development for the fundamental RED-GREEN-REFACTOR cycle. This skill adapts TDD to documentation. ## What is a Skill? A **skill** is a reference guide for proven techniques, patterns, or tools. Skills help future Claude instances find and apply effective approaches. **Skills are:** Reusable techniques, patterns, tools, reference guides **Skills are NOT:** Narratives about how you solved a problem once ## TDD Mapping for Skills | TDD Concept | Skill Creation | |-------------|----------------| | **Test case** | Pressure scenario with subagent | | **Production code** | Skill document (SKILL.md) | | **Test fails (RED)** | Agent violates rule without skill (baseline) | | **Test passes (GREEN)** | Agent complies with skill present | | **Refactor** | Close loopholes while maintaining compliance | | **Write test first** | Run baseline scenario BEFORE writing skill | | **Watch it fail** | Document exact rationalizations agent uses | | **Minimal code** | Write skill addressing those specific violations | | **Watch it pass** | Verify agent now complies | | **Refactor cycle** | Find new rationalizations → plug → re-verify | The entire skill creation process follows RED-GREEN-REFACTOR. ## When to Create a Skill **Create when:** - Technique wasn't intuitively obvious to you - You'd reference this again across projects - Pattern applies broadly (not project-specific) - Others would benefit **Don't create for:** - One-off solutions - Standard practices well-documented elsewhere - Project-specific conventions (put in CLAUDE.md) ## Skill Types ### Technique Concrete method with steps to follow (condition-based-waiting, root-cause-tracing) ### Pattern Way of thinking about problems (flatten-with-flags, test-invariants) ### Reference API docs, syntax guides, tool documentation (office docs) ## Directory Structure **All skills are in the skills repository at `${SUPERPOWERS_SKILLS_ROOT}`:** ``` ${SUPERPOWERS_SKILLS_ROOT} skill-name/ SKILL.md # Main reference (required) supporting-file.* # Only if needed ``` **Flat namespace** - all skills in one searchable location **Separate files for:** 1. **Heavy reference** (100+ lines) - API docs, comprehensive syntax 2. **Reusable tools** - Scripts, utilities, templates **Keep inline:** - Principles and concepts - Code patterns (< 50 lines) - Everything else ## SKILL.md Structure ```markdown --- name: Human-Readable Name description: One-line summary of what this does when_to_use: when [trigger/situation] version: 5.1.0 languages: all | [typescript, python] | etc dependencies: (optional) Required tools/libraries --- # Skill Name ## Overview What is this? Core principle in 1-2 sentences. ## When to Use [Small inline flowchart IF decision non-obvious] Bullet list with SYMPTOMS and use cases When NOT to use ## Core Pattern (for techniques/patterns) Before/after code comparison ## Quick Reference Table or bullets for scanning common operations ## Implementation Inline code for simple patterns @link to file for heavy reference or reusable tools ## Common Mistakes What goes wrong + fixes ## Real-World Impact (optional) Concrete results ``` ## Claude Search Optimization (CSO) **Critical for discovery:** Future Claude needs to FIND your skill ### 1. Rich when_to_use **Purpose:** Claude reads when_to_use to decide which skills to load for a given task. Make it answer: "Should I read this skill right now?" **Format:** Start with "when" to complete "Use [skill-path] when [your text]" **Content:** - Use concrete triggers, symptoms, and situations that signal this skill applies - Describe the *problem* (race conditions, inconsistent behavior) not *language-specific symptoms* (setTimeout, sleep) - Keep triggers technology-agnostic unless the skill itself is technology-specific - If skill is technology-specific, make that explicit in the trigger ```yaml # ❌ BAD: Too abstract, doesn't start with "when" when_to_use: For async testing # ❌ BAD: Mentions technology but skill isn't specific to it when_to_use: when tests use setTimeout/sleep and are flaky # ✅ GOOD: Starts with "when", describes problem not language symptom when_to_use: when tests have race conditions, timing dependencies, or pass/fail inconsistently # ✅ GOOD: Technology-specific skill with explicit trigger when_to_use: when using React Router and handling authentication redirects ``` **Example find-skills output:** ``` Use skills/testing/condition-based-waiting/SKILL.md when tests have race conditions, timing dependencies, or pass/fail inconsistently ``` ### 2. Keyword Coverage Use words Claude would search for: - Error messages: "Hook timed out", "ENOTEMPTY", "race condition" - Symptoms: "flaky", "hanging", "zombie", "pollution" - Synonyms: "timeout/hang/freeze", "cleanup/teardown/afterEach" - Tools: Actual commands, library names, file types ### 3. Descriptive Naming **Use active voice, verb-first:** - ✅ `creating-skills` not `skill-creation` - ✅ `testing-skills-with-subagents` not `subagent-skill-testing` ### 4. Token Efficiency (Critical) **Problem:** getting-started and frequently-referenced skills load into EVERY conversation. Every token counts. **Target word counts:** - getting-started workflows: <150 words each - Frequently-loaded skills: <200 words total - Other skills: <500 words (still be concise) **Techniques:** **Move details to tool help:** ```bash # ❌ BAD: Document all flags in SKILL.md search-conversations supports --text, --both, --after DATE, --before DATE, --limit N # ✅ GOOD: Reference --help search-conversations supports multiple modes and filters. Run --help for details. ``` **Use cross-references:** ```markdown # ❌ BAD: Repeat workflow details When searching, dispatch subagent with template... [20 lines of repeated instructions] # ✅ GOOD: Reference other skill Always use subagents (50-100x context savings). See skills/using-skills for workflow. ``` **Compress examples:** ```markdown # ❌ BAD: Verbose example (42 words) your human partner: "How did we handle authentication errors in React Router before?" You: I'll search past conversations for React Router authentication patterns. [Dispatch subagent with search query: "React Router authentication error handling 401"] # ✅ GOOD: Minimal example (20 words) Partner: "How did we handle auth errors in React Router?" You: Searching... [Dispatch subagent → synthesis] ``` **Eliminate redundancy:** - Don't repeat what's in cross-referenced skills - Don't explain what's obvious from command - Don't include multiple examples of same pattern **Verification:** ```bash wc -w skills/path/SKILL.md # getting-started workflows: aim for <150 each # Other frequently-loaded: aim for <200 total ``` **Name by what you DO or core insight:** - ✅ `condition-based-waiting` > `async-test-helpers` - ✅ `using-skills` not `skill-usage` - ✅ `flatten-with-flags` > `data-structure-refactoring` - ✅ `root-cause-tracing` > `debugging-techniques` **Gerunds (-ing) work well for processes:** - `creating-skills`, `testing-skills`, `debugging-with-logs` - Active, describes the action you're taking ### 4. Content Repetition Mention key concepts multiple times: - In description - In when_to_use - In overview - In section headers Grep hits from multiple places = easier discovery ### 5. Cross-Referencing Other Skills **When writing documentation that references other skills:** Use path format without `@` prefix or `/SKILL.md` suffix: - ✅ Good: `skills/testing/test-driven-development` - ✅ Good: `skills/debugging/systematic-debugging` - ❌ Bad: `@skills/testing/test-driven-development/SKILL.md` (force-loads, burns context) **Why no @ links:** `@` syntax force-loads files immediately, consuming 200k+ context before you need them. **To read a skill reference:** Use Read tool on `${SUPERPOWERS_SKILLS_ROOT}/category/skill-name/SKILL.md` ## Flowchart Usage ```dot digraph when_flowchart { "Need to show information?" [shape=diamond]; "Decision where I might go wrong?" [shape=diamond]; "Use markdown" [shape=box]; "Small inline flowchart" [shape=box]; "Need to show information?" -> "Decision where I might go wrong?" [label="yes"]; "Decision where I might go wrong?" -> "Small inline flowchart" [label="yes"]; "Decision where I might go wrong?" -> "Use markdown" [label="no"]; } ``` **Use flowcharts ONLY for:** - Non-obvious decision points - Process loops where you might stop too early - "When to use A vs B" decisions **Never use flowcharts for:** - Reference material → Tables, lists - Code examples → Markdown blocks - Linear instructions → Numbered lists - Labels without semantic meaning (step1, helper2) See @graphviz-conventions.dot for graphviz style rules. ## Code Examples **One excellent example beats many mediocre ones** Choose most relevant language: - Testing techniques → TypeScript/JavaScript - System debugging → Shell/Python - Data processing → Python **Good example:** - Complete and runnable - Well-commented explaining WHY - From real scenario - Shows pattern clearly - Ready to adapt (not generic template) **Don't:** - Implement in 5+ languages - Create fill-in-the-blank templates - Write contrived examples You're good at porting - one great example is enough. ## File Organization ### Self-Contained Skill ``` defense-in-depth/ SKILL.md # Everything inline ``` When: All content fits, no heavy reference needed ### Skill with Reusable Tool ``` condition-based-waiting/ SKILL.md # Overview + patterns example.ts # Working helpers to adapt ``` When: Tool is reusable code, not just narrative ### Skill with Heavy Reference ``` pptx/ SKILL.md # Overview + workflows pptxgenjs.md # 600 lines API reference ooxml.md # 500 lines XML structure scripts/ # Executable tools ``` When: Reference material too large for inline ## The Iron Law (Same as TDD) ``` NO SKILL WITHOUT A FAILING TEST FIRST ``` This applies to NEW skills AND EDITS to existing skills. Write skill before testing? Delete it. Start over. Edit skill without testing? Same violation. **No exceptions:** - Not for "simple additions" - Not for "just adding a section" - Not for "documentation updates" - Don't keep untested changes as "reference" - Don't "adapt" while running tests - Delete means delete See skills/testing/test-driven-development for why this matters. Same principles apply to documentation. ## Testing All Skill Types Different skill types need different test approaches: ### Discipline-Enforcing Skills (rules/requirements) **Examples:** TDD, verification-before-completion, designing-before-coding **Test with:** - Academic questions: Do they understand the rules? - Pressure scenarios: Do they comply under stress? - Multiple pressures combined: time + sunk cost + exhaustion - Identify rationalizations and add explicit counters **Success criteria:** Agent follows rule under maximum pressure ### Technique Skills (how-to guides) **Examples:** condition-based-waiting, root-cause-tracing, defensive-programming **Test with:** - Application scenarios: Can they apply the technique correctly? - Variation scenarios: Do they handle edge cases? - Missing information tests: Do instructions have gaps? **Success criteria:** Agent successfully applies technique to new scenario ### Pattern Skills (mental models) **Examples:** reducing-complexity, information-hiding concepts **Test with:** - Recognition scenarios: Do they recognize when pattern applies? - Application scenarios: Can they use the mental model? - Counter-examples: Do they know when NOT to apply? **Success criteria:** Agent correctly identifies when/how to apply pattern ### Reference Skills (documentation/APIs) **Examples:** API documentation, command references, library guides **Test with:** - Retrieval scenarios: Can they find the right information? - Application scenarios: Can they use what they found correctly? - Gap testing: Are common use cases covered? **Success criteria:** Agent finds and correctly applies reference information ## Common Rationalizations for Skipping Testing | Excuse | Reality | |--------|---------| | "Skill is obviously clear" | Clear to you ≠ clear to other agents. Test it. | | "It's just a reference" | References can have gaps, unclear sections. Test retrieval. | | "Testing is overkill" | Untested skills have issues. Always. 15 min testing saves hours. | | "I'll test if problems emerge" | Problems = agents can't use skill. Test BEFORE deploying. | | "Too tedious to test" | Testing is less tedious than debugging bad skill in production. | | "I'm confident it's good" | Overconfidence guarantees issues. Test anyway. | | "Academic review is enough" | Reading ≠ using. Test application scenarios. | | "No time to test" | Deploying untested skill wastes more time fixing it later. | **All of these mean: Test before deploying. No exceptions.** ## Bulletproofing Skills Against Rationalization Skills that enforce discipline (like TDD) need to resist rationalization. Agents are smart and will find loopholes when under pressure. **Psychology note:** Understanding WHY persuasion techniques work helps you apply them systematically. See persuasion-principles.md for research foundation (Cialdini, 2021; Meincke et al., 2025) on authority, commitment, scarcity, social proof, and unity principles. ### Close Every Loophole Explicitly Don't just state the rule - forbid specific workarounds: ```markdown Write code before test? Delete it. ``` ```markdown Write code before test? Delete it. Start over. **No exceptions:** - Don't keep it as "reference" - Don't "adapt" it while writing tests - Don't look at it - Delete means delete ``` ### Address "Spirit vs Letter" Arguments Add foundational principle early: ```markdown **Violating the letter of the rules is violating the spirit of the rules.** ``` This cuts off entire class of "I'm following the spirit" rationalizations. ### Build Rationalization Table Capture rationalizations from baseline testing (see Testing section below). Every excuse agents make goes in the table: ```markdown | Excuse | Reality | |--------|---------| | "Too simple to test" | Simple code breaks. Test takes 30 seconds. | | "I'll test after" | Tests passing immediately prove nothing. | | "Tests after achieve same goals" | Tests-after = "what does this do?" Tests-first = "what should this do?" | ``` ### Create Red Flags List Make it easy for agents to self-check when rationalizing: ```markdown ## Red Flags - STOP and Start Over - Code before test - "I already manually tested it" - "Tests after achieve the same purpose" - "It's about spirit not ritual" - "This is different because..." **All of these mean: Delete code. Start over with TDD.** ``` ### Update CSO for Violation Symptoms Add to when_to_use: symptoms of when you're ABOUT to violate the rule: ```yaml when_to_use: when implementing any feature or bugfix, before writing implementation code ``` ## RED-GREEN-REFACTOR for Skills Follow the TDD cycle: ### RED: Write Failing Test (Baseline) Run pressure scenario with subagent WITHOUT the skill. Document exact behavior: - What choices did they make? - What rationalizations did they use (verbatim)? - Which pressures triggered violations? This is "watch the test fail" - you must see what agents naturally do before writing the skill. ### GREEN: Write Minimal Skill Write skill that addresses those specific rationalizations. Don't add extra content for hypothetical cases. Run same scenarios WITH skill. Agent should now comply. ### REFACTOR: Close Loopholes Agent found new rationalization? Add explicit counter. Re-test until bulletproof. **See skills/testing-skills-with-subagents for:** - How to write pressure scenarios - Pressure types (time, sunk cost, authority, exhaustion) - Plugging holes systematically - Meta-testing techniques ## Anti-Patterns ### ❌ Narrative Example "In session 2025-10-03, we found empty projectDir caused..." **Why bad:** Too specific, not reusable ### ❌ Multi-Language Dilution example-js.js, example-py.py, example-go.go **Why bad:** Mediocre quality, maintenance burden ### ❌ Code in Flowcharts ```dot step1 [label="import fs"]; step2 [label="read file"]; ``` **Why bad:** Can't copy-paste, hard to read ### ❌ Generic Labels helper1, helper2, step3, pattern4 **Why bad:** Labels should have semantic meaning ## STOP: Before Moving to Next Skill **After writing ANY skill, you MUST STOP and complete the deployment process.** **Do NOT:** - Create multiple skills in batch without testing each - Move to next skill before current one is verified - Skip testing because "batching is more efficient" **The deployment checklist below is MANDATORY for EACH skill.** Deploying untested skills = deploying untested code. It's a violation of quality standards. ## Skill Creation Checklist (TDD Adapted) **IMPORTANT: Use TodoWrite to create todos for EACH checklist item below.** **RED Phase - Write Failing Test:** - [ ] Create pressure scenarios (3+ combined pressures for discipline skills) - [ ] Run scenarios WITHOUT skill - document baseline behavior verbatim - [ ] Identify patterns in rationalizations/failures **GREEN Phase - Write Minimal Skill:** - [ ] Name describes what you DO or core insight - [ ] YAML frontmatter with rich when_to_use (include symptoms!) - [ ] Keywords throughout for search (errors, symptoms, tools) - [ ] Clear overview with core principle - [ ] Address specific baseline failures identified in RED - [ ] Code inline OR @link to separate file - [ ] One excellent example (not multi-language) - [ ] Run scenarios WITH skill - verify agents now comply **REFACTOR Phase - Close Loopholes:** - [ ] Identify NEW rationalizations from testing - [ ] Add explicit counters (if discipline skill) - [ ] Build rationalization table from all test iterations - [ ] Create red flags list - [ ] Re-test until bulletproof **Quality Checks:** - [ ] Small flowchart only if decision non-obvious - [ ] Quick reference table - [ ] Common mistakes section - [ ] No narrative storytelling - [ ] Supporting files only for tools or heavy reference **Deployment:** - [ ] Commit skill to git and push to your fork (if configured) - [ ] Consider contributing back via PR (if broadly useful) ## Discovery Workflow How future Claude finds your skill: 1. **Encounters problem** ("tests are flaky") 2. **Searches skills** using `find-skills` tool (searches skills repository) 3. **Finds SKILL.md** (rich when_to_use matches) 4. **Scans overview** (is this relevant?) 5. **Reads patterns** (quick reference table) 6. **Loads example** (only when implementing) **Optimize for this flow** - put searchable terms early and often. ## The Bottom Line **Creating skills IS TDD for process documentation.** Same Iron Law: No skill without failing test first. Same cycle: RED (baseline) → GREEN (write skill) → REFACTOR (close loopholes). Same benefits: Better quality, fewer surprises, bulletproof results. If you follow TDD for code, follow it for skills. It's the same discipline applied to documentation.