conversation-lab
Self-improving conversation convergence loop for SPARTA stress tests. Diagnoses unsatisfied sessions, re-runs until personas say satisfactory, outputs structured JSON for /assess consumption. Use when conversation quality is low, sessions are partial, or you need to converge conversations.
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- grahama1970/agent-stack-public
- 最近来源活动
- 2026年9月24日 15:51
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SKILL.md
来源说明 · 只读预览- name
- conversation-lab
- description
- Self-improving conversation convergence loop for SPARTA stress tests. Diagnoses unsatisfied sessions, re-runs until personas say satisfactory, outputs structured JSON for /assess consumption. Use when conversation quality is low, sessions are partial, or you need to converge conversations.
- triggers
- ["conversation lab","converge conversations","fix unsatisfied sessions","conversation convergence","diagnose conversations","rerun sessions"]
- metadata
- {"short-description":"Conversation convergence engine","version":"1.0.0"}
- provides
- ["conversation-convergence","session-diagnostics","turn-optimization"]
- composes
- ["sparta-stress-test","review-conversation","episodic-archiver","task-monitor","memory","agentic-evals"]
- taxonomy
- ["validation","iteration","convergence"]
- disciplines
- ["persona-simulation","evaluation-quality"]
> STOP. READ THIS ENTIRE SKILL.MD BEFORE CALLING ANY ENDPOINT.
# Conversation Lab
Self-improving convergence loop for SPARTA stress test conversations.
Follows the Shadow-Lego pattern: run -> assess -> diagnose -> fix -> re-run.
## Commands
| Command | Description |
|---------|-------------|
| `diagnose [file]` | Structured JSON diagnosis for `/assess` (use `--format md` for Rich tables) |
| `report [file]` | Full markdown report with conversation transcripts (like `/tmp/conversation_flows_*.md`) |
| `data [file]` | Export JSON chart data for `/create-figure` (radar, heatmap, grade distribution) |
| `converge [file]` | Re-run unsatisfied sessions until personas are happy or ceiling hit |
| `optimize` | Analyze session data + episodic archives to recommend optimal turn counts |
| `status` | Show convergence state (running/complete/stalled) |
## Usage
```bash
# Diagnose existing sessions (JSON output)
./run.sh diagnose /path/to/sessions_*.jsonl
# Run convergence on unsatisfied sessions
./run.sh converge /path/to/sessions_*.jsonl --max-cycles 3
# Dry run (no LLM calls)
./run.sh converge /path/to/sessions_*.jsonl --dry-run
# Check turn optimization from episodic data
./run.sh optimize
# Human-readable markdown report (full transcripts)
./run.sh report /path/to/sessions_*.jsonl -o /tmp/conversation_flows.md
# Export chart data for /create-figure
./run.sh data /path/to/sessions_*.jsonl -o /tmp/charts/
# Then: cd .pi/skills/create-figure && ./run.sh radar --input /tmp/charts/radar.json
```
## Task-Monitor Integration
```bash
# Progress is reported automatically during converge
cat conversation_lab_task_state.json | jq
```
## NDJSON Streaming
```bash
./run.sh converge sessions.jsonl --json-stream | tee converge_results.jsonl
```
## Convergence Logic
1. **DIAGNOSE** — Read sessions, classify failures (zero QRA, over-clarification, regression, wrong answer, coverage gap)
2. **FILTER** — Select rerun candidates (unsatisfied + rerun_eligible)
3. **RE-RUN** — Call sparta-stress-test with same seeds, higher CONVO_MAX_ROUNDS
4. **COMPARE** — Grade delta between original and new session
5. **ARCHIVE** — Feed improvements to /episodic-archiver
6. **DECIDE** — Converging? Continue. Plateau? Stop. Regressing? Rollback.
### Stopping Conditions
- `satisfied_rate >= 0.80` — 80% persona satisfaction
- `max_cycles` exhausted (default 5)
- Plateau: 2 consecutive cycles with < 5% improvement
- Budget: total LLM calls exceed threshold
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