clawdbot/extensions/open-prose/skills/prose/examples/49-prose-run-retrospective.prose

# Prose Run Retrospective
# Analyzes a completed run to extract learnings and produce an improved version.

input run_id: "Path to the completed run directory"
input prose_path: "Path to the .prose file that was executed"

const PATTERNS_PATH = "prose/skills/open-prose/guidance/patterns.md"
const ANTIPATTERNS_PATH = "prose/skills/open-prose/guidance/antipatterns.md"

agent analyst:
  model: sonnet
  prompt: """You analyze OpenProse run artifacts to identify issues and classify outcomes.
Checklist-style evaluation: read systematically, identify issues with evidence, classify outcomes.

Classification criteria:
- success: Program completed, outputs are correct
- transient-error: External failure (API timeout, network) - not a program flaw
- architectural-issue: Structural problem in .prose design
- antipattern-instance: Program exhibits a known antipattern"""

agent extractor:
  model: opus
  prompt: """You extract generalizable patterns from specific experiences.
Deep reasoning: identify abstract success/failure factors, distinguish situational from generalizable,
reason about trade-offs, synthesize observations into principles.
Be conservative - avoid over-generalizing from single instances."""

parallel:
  run_artifacts = session: analyst
    prompt: """Read and catalog all artifacts in {run_id}.
Look for bindings/*.md, state.md, outputs/, error files.
Summarize what exists and its content."""
    context:
      file: "{run_id}/state.md"

  source_analysis = session: analyst
    prompt: """Parse the .prose file structure at {prose_path}.
Identify: inputs, agents and models, phase structure, error handling, decision points, outputs."""
    context:
      file: prose_path

let classification = session: analyst
  prompt: """Classify the run outcome.

Run artifacts: {run_artifacts}
Source structure: {source_analysis}

Determine:
- outcome_type: success | transient-error | architectural-issue | antipattern-instance
- confidence: high | medium | low
- evidence: Specific quotes supporting classification
- summary: One-line description"""

if **classification indicates transient error (API timeout, network failure) not caused by program**:
  output result = {
    status: "transient-error",
    classification: classification,
    recommendation: "Re-run the program; no structural changes needed"
  }

let improvements = session: analyst
  prompt: """Identify improvement opportunities in the .prose file.

Classification: {classification}
Source structure: {source_analysis}

For each improvement:
- What: Specific change
- Why: Problem it solves
- Priority: high | medium | low

Focus on structural improvements: model selection, parallelization, error handling, context management."""
  context:
    file: PATTERNS_PATH
    file: ANTIPATTERNS_PATH

let pattern_candidates = session: extractor
  prompt: """Extract generalizable patterns from this run.

Classification: {classification}
Improvements: {improvements}

For genuinely novel patterns/antipatterns (not already in guidance):
- Name (kebab-case)
- Category
- Description
- Example code
- Rationale

Be conservative. Only propose broadly applicable patterns supported by evidence."""
  context:
    file: PATTERNS_PATH
    file: ANTIPATTERNS_PATH

let improved_prose = session: extractor
  prompt: """Write an improved version of the .prose file.

Source structure: {source_analysis}
Improvements: {improvements}

Write the complete improved file:
- Keep same purpose and inputs
- Apply identified improvements
- Follow patterns from guidance
- Add brief header comment on what changed"""
  context:
    file: prose_path
    file: PATTERNS_PATH

if **pattern_candidates contains no novel patterns worth documenting**:
  let new_patterns = { count: 0, entries: [] }
  let new_antipatterns = { count: 0, entries: [] }
else:
  parallel:
    new_patterns = session: analyst
      prompt: """Draft new pattern entries for patterns.md.

Candidates: {pattern_candidates}

For genuinely novel patterns, follow exact format from patterns.md.
Output: count, names, and full markdown entries."""
      context:
        file: PATTERNS_PATH

    new_antipatterns = session: analyst
      prompt: """Draft new antipattern entries for antipatterns.md.

Candidates: {pattern_candidates}

For genuinely novel antipatterns, follow exact format from antipatterns.md.
Output: count, names, and full markdown entries."""
      context:
        file: ANTIPATTERNS_PATH

input approval_response: """
## Retrospective Complete

**Classification**: {classification.outcome_type} ({classification.confidence})
**Summary**: {classification.summary}

**Improvements**: {improvements}

**New Patterns**: {new_patterns.count} proposed
**New Antipatterns**: {new_antipatterns.count} proposed

Approve: `all` | `prose-only` | `docs-only` | `none`
"""

choice **user approval**:

  option "all":
    session "Write improved prose"
      prompt: "Write to {run_id}/outputs/improved.prose:\n{improved_prose}"
      permissions:
        write: ["{run_id}/outputs/*"]

    if **new_patterns.count > 0**:
      session "Update patterns.md"
        prompt: "Append to {PATTERNS_PATH}:\n{new_patterns.entries}"
        permissions:
          write: [PATTERNS_PATH]

    if **new_antipatterns.count > 0**:
      session "Update antipatterns.md"
        prompt: "Append to {ANTIPATTERNS_PATH}:\n{new_antipatterns.entries}"
        permissions:
          write: [ANTIPATTERNS_PATH]

    output result = {
      status: classification.outcome_type,
      improved_prose_path: "{run_id}/outputs/improved.prose",
      patterns_added: new_patterns.names,
      antipatterns_added: new_antipatterns.names
    }

  option "prose-only":
    session "Write improved prose"
      prompt: "Write to {run_id}/outputs/improved.prose:\n{improved_prose}"
      permissions:
        write: ["{run_id}/outputs/*"]

    output result = {
      status: classification.outcome_type,
      improved_prose_path: "{run_id}/outputs/improved.prose"
    }

  option "docs-only":
    if **new_patterns.count > 0**:
      session "Update patterns.md"
        prompt: "Append to {PATTERNS_PATH}:\n{new_patterns.entries}"
        permissions:
          write: [PATTERNS_PATH]

    if **new_antipatterns.count > 0**:
      session "Update antipatterns.md"
        prompt: "Append to {ANTIPATTERNS_PATH}:\n{new_antipatterns.entries}"
        permissions:
          write: [ANTIPATTERNS_PATH]

    output result = {
      status: classification.outcome_type,
      patterns_added: new_patterns.names,
      antipatterns_added: new_antipatterns.names
    }

  option "none":
    output result = {
      status: "review-complete",
      learnings: pattern_candidates
    }