chore: consolidate plugin for sharing

- Add .gitignore (ignore .archeflow/ runtime state)
- Move custom archetype examples from .archeflow/ to examples/
- Remove onboarding skill (covered by using-archeflow + README)
- Remove internal planning doc
- Clean roadmap (remove tool.archeflow references)
- Simplify session-start hook config
- Polish README for external users
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2026-04-03 07:29:53 +02:00
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# ArcheFlow Core Improvements Plan
## Context
ArcheFlow's archetype system and PDCA engine are feature-complete in TypeScript (`tool.archeflow/`), but the Claude Code plugin layer (`archeflow/` + `claude-archeflow-plugin/`) has gaps that reduce quality and waste tokens. Two plugin directories exist as near-duplicates. The goal: improve orchestration quality while keeping token usage low.
## Scope
**Implement (High Value):**
1. Cross-cycle feedback loop — structured issue tracking between PDCA cycles
2. Consolidate plugin directories — kill `claude-archeflow-plugin/`, keep `archeflow/`
3. Shadow detection heuristics in skill layer — concrete thresholds, not just prose
4. Attention filter enforcement — actually filter context per archetype when spawning
5. Metrics in orchestration skill — lightweight timing + token tracking
6. Autonomous mode wiring — connect skill to orchestration with progress logging
**Future Features (park for later):**
- Web dashboard UI
- A2A inter-agent negotiation protocol
- GitHub Action integration
## Implementation
### 1. Cross-Cycle Feedback Loop
**Problem:** Check phase outputs go to next Plan cycle as raw text dump. No issue tracking, no resolution status, no routing.
**Solution:** Add structured feedback format to `archeflow/skills/orchestration/SKILL.md`
**Changes:**
- `archeflow/skills/orchestration/SKILL.md` — Add "Cycle Feedback Protocol" section:
- After Check phase, orchestrator extracts findings into structured format:
```
## Cycle N Feedback
### Unresolved Issues
- [Guardian] CRITICAL: <issue> → Route to: Creator
- [Skeptic] WARNING: <assumption> → Route to: Creator
- [Sage] WARNING: <quality concern> → Route to: Maker
### Resolved (from prior cycle)
- [Guardian] <issue> — resolved in cycle N
```
- Route feedback by archetype: Guardian/Skeptic findings → Creator (design issues), Sage/Trickster findings → Maker (implementation issues)
- Track resolution: if a finding from cycle N-1 is no longer present in cycle N review, mark resolved
- `archeflow/skills/plan-phase/SKILL.md` — Add "Prior Feedback" input section to Creator format:
- Creator must address each unresolved issue explicitly (fix, defer with reason, or dispute)
- `archeflow/skills/check-phase/SKILL.md` — Standardize finding output format for machine parsing:
- Each finding: `| Location | Severity | Category | Description | Fix |`
- Categories: security, reliability, design, quality, testing
**Token impact:** Slightly more tokens in feedback artifact, but saves full cycles by giving targeted guidance instead of "here's everything, figure it out."
### 2. Consolidate Plugin Directories
**Problem:** `archeflow/` and `claude-archeflow-plugin/` are near-identical (1 commit apart), causing maintenance drift.
**Solution:** Delete `claude-archeflow-plugin/`, keep `archeflow/` (more recent, cleaner Node.js hook).
**Changes:**
- Remove `claude-archeflow-plugin/` directory
- Verify `archeflow/` is referenced in any workspace config
- Update any cross-references in docs
### 3. Shadow Detection Heuristics in Skill Layer
**Problem:** TypeScript `ShadowDetector` has concrete thresholds (e.g., >2000 words, >3 tangents), but the skill file only describes shadows in prose. The orchestrator running via Claude Code skills can't use the TypeScript runtime — it needs the heuristics inline.
**Solution:** Add quantitative detection rules to `archeflow/skills/shadow-detection/SKILL.md`
**Changes:**
- `archeflow/skills/shadow-detection/SKILL.md` — For each archetype, add a "Detection Checklist" with concrete metrics the orchestrator can evaluate:
```
### Explorer → Rabbit Hole
**Detect:** ANY of:
- [ ] Output >2000 words without a Recommendation section
- [ ] >3 tangent topics not in original task
- [ ] >15 files read
**Correct:** "Summarize top 3 findings in 300 words. Add Recommendation."
```
- Keep the existing prose for understanding, add checklist for action
**Token impact:** Negligible — adds ~200 words to skill file, but prevents wasted cycles from undetected shadows.
### 4. Attention Filter Enforcement
**Problem:** The attention-filters skill describes what each archetype should/shouldn't receive, but the orchestration skill doesn't reference or enforce it when spawning agents.
**Solution:** Add concrete context-assembly instructions to `archeflow/skills/orchestration/SKILL.md`
**Changes:**
- `archeflow/skills/orchestration/SKILL.md` — In each phase's agent-spawning step, add explicit context rules:
```
## Step 1: Plan Phase
### Spawn Explorer
**Context to include:** Task description, relevant file paths
**Context to exclude:** Prior proposals, review outputs, implementation details
### Spawn Creator
**Context to include:** Task description, Explorer's Research output
**Context to exclude:** Raw file contents (Explorer already summarized), review history
```
- Reference the attention-filters skill but inline the actionable rules
**Token impact:** This is the biggest savings — prevents passing full codebase dumps to every agent. Each agent gets only what it needs.
### 5. Metrics in Orchestration Skill
**Problem:** No timing or cost tracking at the skill layer. The TypeScript metrics collector exists but isn't available when running via Claude Code skills.
**Solution:** Add lightweight metrics protocol to orchestration skill — track per-phase duration and agent count.
**Changes:**
- `archeflow/skills/orchestration/SKILL.md` — Add "Metrics" section:
- After each phase, log: `Phase | Duration | Agents | Findings`
- At orchestration end, summarize: total duration, cycles run, agents spawned, findings by severity
- Format as compact table in orchestration output
- Keep it lightweight — no token counting (not reliable from skill layer), just timing and counts
**Token impact:** ~50 extra tokens per orchestration for the summary. Provides data for future optimization.
### 6. Autonomous Mode Wiring
**Problem:** Autonomous mode skill exists as standalone doc but isn't integrated into the orchestration skill's flow.
**Solution:** Add autonomous mode hooks to orchestration skill.
**Changes:**
- `archeflow/skills/orchestration/SKILL.md` — Add "Autonomous Mode" section:
- When running unattended: auto-commit between cycles, log progress to `.archeflow/session-log.md`
- Reference stop conditions from autonomous-mode skill
- Add "between-task checkpoint" protocol: after each task completes, update session log before starting next
- `archeflow/skills/autonomous-mode/SKILL.md` — Add cross-reference to orchestration skill for execution details
**Token impact:** Minimal — only adds content to skill files loaded on-demand.
## Future Features (add to backlog)
Add to `archeflow/docs/roadmap.md`:
- **Web Dashboard**: Real-time orchestration visualization via SSE/WebSocket (`tool.archeflow/packages/web/`)
- **A2A Protocol**: Direct agent-to-agent negotiation during Check phase (schemas exist in `tool.archeflow`)
- **GitHub Action**: CI-triggered orchestrations for PR review automation
## Files to Modify
| File | Change |
|------|--------|
| `archeflow/skills/orchestration/SKILL.md` | Feedback loop, attention filters, metrics, autonomous hooks |
| `archeflow/skills/plan-phase/SKILL.md` | Prior feedback input for Creator |
| `archeflow/skills/check-phase/SKILL.md` | Standardized finding format for parsing |
| `archeflow/skills/shadow-detection/SKILL.md` | Quantitative detection checklists |
| `archeflow/skills/autonomous-mode/SKILL.md` | Cross-reference to orchestration |
| `archeflow/docs/roadmap.md` | New file — future features backlog |
| Directory | Action |
|-----------|--------|
| `claude-archeflow-plugin/` | Delete (redundant) |
## Verification
1. Load each modified skill via `Skill` tool — verify no syntax/formatting errors
2. Run a test orchestration (fast workflow) on a small task to verify:
- Attention filters are referenced in agent spawning
- Check phase outputs use standardized finding format
- Feedback is structured and routed correctly
3. Verify shadow detection checklist is actionable (can an orchestrator evaluate each checkbox?)
4. Confirm `claude-archeflow-plugin/` removal doesn't break any references
## Cost-Benefit Summary
| Change | Token Cost | Quality Gain |
|--------|-----------|-------------|
| Cross-cycle feedback | +200/cycle | High — targeted revision instead of blind retry |
| Consolidate dirs | 0 | Medium — eliminates drift, single source of truth |
| Shadow heuristics | +200 skill load | Medium — catches dysfunction before it wastes cycles |
| Attention filters | **-30-50% per agent** | High — massive token savings |
| Metrics | +50/orchestration | Low-Medium — enables future optimization |
| Autonomous wiring | +100 skill load | Medium — enables unattended quality runs |
**Net effect:** Token usage goes DOWN (attention filters save more than everything else adds). Quality goes UP (structured feedback, shadow detection, metrics).

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- [x] Orchestration metrics (timing, agent count, findings)
- [x] Autonomous mode integrated into orchestration flow
- [x] Plugin consolidation (single `archeflow/` directory)
- [x] Workflow intelligence (conditional escalation, fast-path, confidence triggers)
- [x] Quality loop (self-review, convergence detection, dedup, completion promises)
- [x] Parallel teams, auto-resume, budget scheduling
- [x] Extensibility (archetype composition, team presets, hook points, workflow templates)
- [x] Mini-reflect for non-ArcheFlow changes
## Future Features
## Future
### Web Dashboard
Real-time orchestration visualization via SSE/WebSocket. Infrastructure exists in `tool.archeflow/packages/web/` (routes, SSE, WebSocket, conflict resolution UI). Needs frontend implementation and connection to event store.
**Value:** Visual monitoring of long/overnight orchestrations, conflict resolution UI.
**Cost:** Medium — frontend work, hosting. Low incremental token cost.
### A2A Protocol (Agent-to-Agent)
Direct inter-agent negotiation during Check phase. Schemas defined in `tool.archeflow/packages/core/`. Currently agents communicate only through artifacts (files) — A2A would allow real-time back-and-forth (e.g., Guardian asking Maker to clarify a code choice before issuing verdict).
**Value:** Fewer full cycles needed — issues resolved within a phase.
**Cost:** High complexity. Risk of increased token usage if negotiations run long. Needs strict turn limits.
### GitHub Action Integration
CI-triggered orchestrations for automated PR review. Package exists at `tool.archeflow/packages/action/` with minimal implementation.
**Value:** Automated quality gates on every PR without manual orchestration.
**Cost:** Low implementation effort, but ongoing CI minutes cost. Best for high-value repos.
| Feature | Value | Effort | Notes |
|---------|-------|--------|-------|
| A2A Protocol | Fewer cycles via in-phase negotiation | High | Needs strict turn limits |
| GitHub Action | Automated PR review via CI | Low | CI minutes cost |
| Web Dashboard | Real-time orchestration visualization | Medium | SSE/WebSocket frontend |
## Version History
Maintainers should update this table when significant features ship or major improvements are completed. Reverse chronological order (latest first).
| Date | Changes |
|------|---------|
| 2026-04-03 | 25-feature release — workflow intelligence (conditional escalation, fast-path, confidence triggers), quality loop (self-review, convergence detection, dedup, completion promises, post-merge verification), parallel teams, auto-resume, budget scheduling, DX (progress indicators, dry-run, status/history commands, onboarding), extensibility (archetype composition, team presets, hook points, workflow templates, reviewer profiles, explorer cache, learning from history), Ralph Loop integration (mini-reflect, alternatives, structured confidence) |
| 2026-04-03 | Core improvements — cross-cycle feedback loop, attention filter enforcement, shadow detection heuristics, orchestration metrics, autonomous mode wiring, plugin consolidation, emoji avatars for archetypes |
| 2026-04-03 | Initial roadmap created with completed features and future backlog |
| 2026-04-03 | v0.2 — Plugin consolidation, shareable structure, examples |
| 2026-04-03 | v0.1 — Full feature set: 7 archetypes, 10 skills, PDCA workflows, shadow detection, autonomous mode, extensibility |