skill-writer

Files (19)

• EVAL.md
• SKILL.md
• SOURCES.md
• authoring-path.md · references/
• claude-code-extensions.md · references/
• description-optimization.md · references/
• design-principles.md · references/
• evaluation-path.md · references/
• documentation-skill.md · references/examples/
• security-review-skill.md · references/examples/
• workflow-process-skill.md · references/examples/
• iteration-path.md · references/
• mode-selection.md · references/
• output-patterns.md · references/
• registration-validation.md · references/
• skill-patterns.md · references/
• synthesis-path.md · references/
• workflow-patterns.md · references/
• quick_validate.py · scripts/

SKILL.md (first lines)

# Skill Writer

Use this as the single canonical workflow for skill creation and improvement.
Primary success condition: maximize high-value input coverage before authoring so the resulting skill has minimal blind spots.

Load only the path(s) required for the task:

| Task | Read |
|------|------|
| Set skill class and required dimensions | `references/mode-selection.md` |
| Apply writing constraints for depth vs concision | `references/design-principles.md` |
| Select structure pattern for this skill | `references/skill-patterns.md` |
| Select workflow orchestration pattern for process-heavy skills | `references/workflow-patterns.md` |
| Select output format pattern for deterministic quality | `references/output-patterns.md` |
| Choose workflow path and required outputs | `references/mode-selection.md` |
| Load representative synthesis examples by skill type | `references/examples/*.md` |
| Synthesize external/local sources with depth gates | `references/synthesis-path.md` |
| Author or update SKILL.md and supporting files | `references/authoring-path.md` |
| Optimize skill description and trigger precision | `references/description-optimization.md` |
| Iterate using positive/negative/fix examples | `references/iteration-path.md` |
| Evaluate behavior and compare baseline vs with-skill (opt-in quantitative) | `references/evaluation-path.md` |
| Register and validate skill changes | `references/registration-validation.md` |

## Step 1: Resolve target and path

1. Resolve target skill path and intended operation (`create`, `update`, `synthesize`, `iterate`).
2. Read `references/mode-selection.md` and select the required path(s).
3. Classify the skill (`workflow-process`, `integration-documentation`, `security-review`, `skill-authoring`, `generic`).
4. Ask one direct question if class or depth requirements are ambiguous; otherwise state explicit assumptions.

## Step 2: Run synthesis when needed

Read `references/synthesis-path.md`.

1. Collect and score relevant sources with provenance.
2. Apply trust and safety rules when ingesting external content.
3. Produce source-backed decisions and coverage/gap status.
4. Load one or more profiles from `references/examples/*.md` when the skill is hybrid.
5. Enforce baseline source pack for skill-authoring workflows.
6. Enforce depth gates before moving to authoring.

## Step 3: Run iteration first when improving from outcomes/examples

Read `references/iteration-path.md` first when selected path includes `iteration` (for example operation `iterate`).

1. Capture and anonymize examples with provenance.
2. Re-evaluate skill behavior against working and holdout slices.
3. Propose improvements from positive/negative/fix evidence.
4. Carry concrete behavior deltas into authoring.

Skip this step when selected path does not include `iteration`.

## Step 4: Author or update skill artifacts

Read `references/authoring-path.md`.

1. Write or update `SKILL.md` in imperative voice with trigger-rich description.
2. Create focused reference files and scripts only when justified.
3. Follow `references/skill-patterns.md`, `references/workflow-patterns.md`, and
   `references/output-patterns.md` for structure and output determinism.
4. For authoring/generator skills, include transformed examples in references:
   - happy-path
   - secure/robust variant
   - anti-pattern + corrected version

## Step 5: Optimize description quality

Read `references/description-optimization.md`.

1. Validate should-trigger and should-not-trigger query sets.
2. Reduce false positives and false negatives with targeted description edits.
3. Keep trigger language generic across Codex and Claude.

## Step 6: Evaluate outcomes

Read `references/evaluation-path.md`.

1. Run a lightweight qualitative check by default (recommended).
2. For integration/documentation and skill-authoring skills, include the concise depth rubric from `references/evaluation-path.md`.
3. Run deeper eval playbook and quantitative baseline-vs-with-skill only when requested or risk warrants it.
4. Record outcomes and unresolved risks.

## Step 7: Register and validate

Read `references/registration-validation.md`.

1. Apply repository registration steps.
2. Run quick validation with strict depth gates.
3. Reject shallow outputs that fail depth gates or required artifact checks.

## Output format

Return:

1. `Summary`
2. `Changes Made`
3. `Validation Results`
4. `Open Gaps`

From scott-fryxell/brayness, MIT.

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