Remove verbose YAML examples, bash pseudo-code, tutorial prose, and motivational content from configuration/integration skills while preserving all operational protocols, reference tables, and rules. Skills trimmed: domains, colette-bridge, multi-project, cost-tracking, git-integration, custom-archetypes, workflow-design, templates, autonomous-mode, progress, presence.
102 lines
4.6 KiB
Markdown
102 lines
4.6 KiB
Markdown
---
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name: domains
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description: |
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Domain adapter system that maps ArcheFlow concepts (code-oriented by default) to domain-specific
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equivalents. Enables writing, research, and other non-code workflows to use the same PDCA pipeline
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with domain-appropriate terminology, metrics, review focus, and context injection.
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<example>User: "Use ArcheFlow for my short story"</example>
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<example>Automatically loaded when colette.yaml is detected</example>
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---
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# Domain Adapter System
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Adapts the PDCA pipeline and archetype system to specific domains (writing, code, research) so events, metrics, reviews, and context use domain-appropriate terminology.
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## Domain Registry
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Domain definitions live in `.archeflow/domains/<name>.yaml`. Each maps generic concepts to domain-specific equivalents.
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### Concept Mapping
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| Generic Concept | Code | Writing | Research |
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|----------------|------|---------|----------|
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| implementation | code changes | draft/prose | draft/analysis |
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| tests | automated tests | consistency checks | citation verification |
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| files_changed | files changed | word count delta | section count |
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| test_coverage | test coverage % | voice drift score | source coverage |
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| code_review | code review | prose review | peer review |
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| build | build/compile | compile/export | compile (LaTeX/PDF) |
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| deploy | deploy | publish | submit/publish |
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| bug | bug | continuity error | unsupported claim |
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| feature | feature | scene/chapter | section |
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### Metrics by Domain
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| Code | Writing | Research |
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|------|---------|----------|
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| files_changed | word_count | word_count |
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| lines_added/removed | voice_drift_score | citation_count |
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| tests_added | dialect_density | source_diversity |
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| tests_passing | scene_count | claim_count |
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| coverage_delta | dialogue_ratio | unsupported_claims |
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### Review Focus by Domain
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| Reviewer | Code | Writing | Research |
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|----------|------|---------|----------|
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| Guardian | security, breaking changes, deps, error handling | plot coherence, character consistency, timeline, continuity | factual accuracy, citation validity, logic, methodology |
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| Sage | code quality, coverage, docs, patterns | voice consistency, prose quality, dialect authenticity | argument structure, clarity, tone, completeness |
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| Skeptic | design assumptions, scalability, edge cases | premise strength, motivation, ending satisfaction | (default) |
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| Trickster | malformed input, races, error paths, dep failures | reader confusion, pacing dead spots, disbelief breaks | (default) |
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### Model Overrides
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Domains can override default model assignments:
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| Domain | Override | Rationale |
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|--------|----------|-----------|
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| Writing | maker: sonnet | Prose quality is the product |
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| Writing | story-sage: sonnet | Voice evaluation needs taste |
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| Research | maker: sonnet | Analysis quality matters |
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| Code | (none) | Defaults are calibrated for code |
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### Context Injection by Domain
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Domains declare which extra files agents should read per phase. Context injection is additive (on top of standard ArcheFlow context).
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| Phase | Code | Writing |
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|-------|------|---------|
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| always | README.md, config.yaml | voice profile, persona, characters |
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| plan | relevant source files, existing tests | series config, previous stories, brief |
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| do | Creator's proposal, test fixtures | scene outline, voice profile |
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| check | git diff, risk section | voice profile (Sage), outline (Guardian), characters |
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## Domain Detection
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Auto-detects at `run.start`. Result stored in event stream.
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| Priority | Signal | Domain |
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|----------|--------|--------|
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| 1 | CLI `--domain <name>` | as specified |
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| 2 | Team preset `domain:` field | as specified |
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| 3 | `colette.yaml` exists | writing |
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| 4 | `*.bib` or `references/` exists | research |
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| 5 | `package.json`, `Cargo.toml`, `pyproject.toml`, `go.mod`, `Makefile` | code |
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| 6 | No markers | code (default) |
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## Adding a New Domain
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1. Create `.archeflow/domains/<name>.yaml` with `name`, `concepts`, `metrics` (minimum required)
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2. Optionally add `review_focus`, `context`, `model_overrides`
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3. Missing sections fall back to `code` domain defaults
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4. Test with `--domain <name> --dry-run`
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## How Domains Affect Orchestration
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- **Reports** use domain-translated terms (e.g., "word count delta" instead of "files changed")
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- **Events** include domain-relevant metrics in `agent.complete` and `run.complete` payloads
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- **Reviewers** receive domain-specific focus checklists (archetype personality stays the same)
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- **Context injection** adds domain-declared files to each agent's prompt
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- **Model overrides** change which model an archetype uses (interacts with cost-tracking)
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- **One domain per run.** Multi-domain projects use separate runs.
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