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disposable-distill

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Install the plugin
$
npx claudepluginhub caphtech/claude-marketplace --plugin disposable-plugin

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Then install: npx claudepluginhub u/[userId]/[slug]

Description

Distill learnings from autopsy report into an improvement specification for the next cycle or production implementation. Extracts constraints, architecture decisions, interface contracts, and rejected options. Part of H-DGM cycle. Use after disposable-autopsy completes.

Tool Access

This skill uses the workspace's default tool permissions.

Skill Content

Disposable Distill — Phase 3: Synthesize

Transform autopsy findings into a structured improvement specification that guides the next iteration or production implementation.

Prerequisites

  • Completed autopsy: .disposable/cycles/cycle_{N}/autopsy-report.json must exist
  • Template: references/distill-template.md in disposable-cycle skill

Procedure

Step 1: Load Autopsy Context

  1. Determine cycle: use $ARGUMENTS if provided, otherwise read latest from .disposable/history.json
  2. Load autopsy report from .disposable/cycles/cycle_{N}/autopsy-report.json
  3. Load spike metrics from .disposable/cycles/cycle_{N}/spike-complete.json
  4. If parentCycleId exists in metrics, load previous cycle's distill spec for delta analysis

Step 2: Extract Constraints

From autopsy findings, extract discovered constraints:

  1. Hard constraints (priority: must): From critical and major findings
    • Security violations → security constraints
    • Correctness failures → behavioral constraints
    • Architecture issues → structural constraints
  2. Soft constraints (priority: should/could): From minor and info findings
    • Performance patterns → optimization targets
    • Readability issues → style guidelines
    • Documentation gaps → documentation requirements

Format each constraint with:

  • ID: C-{NNN}
  • Description
  • Source: axis name and finding ID
  • Severity: must / should / could

Step 3: Identify Architecture Decisions

From autopsy architecture, maintainability, and dependency-hygiene axes:

  1. Extract decisions that emerged naturally in the prototype
  2. For each decision:
    • Context: Why this decision was forced or emerged
    • Decision: What the prototype chose
    • Rationale: Evidence from autopsy scores and findings
    • Trade-offs: What was sacrificed
  3. Compare with previous cycle's decisions (if any) to detect:
    • Confirmed decisions (same choice, improved score)
    • Reversed decisions (different choice this cycle)
    • New decisions (not present in previous cycle)

Step 4: Extract Interface Contracts

From the spike code and autopsy correctness / testability axes:

  1. Extract type signatures, API shapes, protocol definitions
  2. Mark contracts as:
    • Validated: Tests exist and pass
    • Assumed: No test coverage, derived from code
    • Disputed: Test failures or autopsy findings suggest issues

Step 5: Document Rejected Options

From autopsy findings and prototype exploration:

  1. List approaches that were tried or considered but rejected
  2. For each:
    • What the option was
    • Why it was rejected (evidence from findings)
    • Under what conditions it might be reconsidered

Step 6: Compile Implementation Notes

Insights that must carry forward:

  • Non-obvious behaviors discovered during spike
  • Gotchas and edge cases
  • Environment-specific requirements
  • Performance characteristics observed

Step 7: Identify Open Questions

Unresolved items that need investigation:

  • Assumptions that need validation
  • Trade-offs that need user input
  • Dependencies on external factors

Step 8: Generate Distill Specification

Using references/distill-template.md, produce the specification:

  1. Fill all template sections
  2. Include cycle metadata (ID, timestamp, parent cycle)
  3. Cross-reference finding IDs from autopsy report
  4. Ensure every constraint has an evidence trail

Step 9: Save & Report

  1. Write specification to .disposable/cycles/cycle_{N}/distill-spec.md
  2. Mask sensitive data:
    node {plugin_root}/scripts/dist/mask-sensitive.mjs \
      .disposable/cycles/cycle_{N}/distill-spec.md --in-place
    
  3. Present to user:
    • Constraint count by severity
    • Architecture decisions (new / confirmed / reversed)
    • Interface contracts status
    • Open questions requiring input
    • Recommendation: iterate (another spike) or graduate (to production)

Output

  • .disposable/cycles/cycle_{N}/distill-spec.md — improvement specification
  • Ready for next /disposable-spike cycle or production implementation

Graduation Criteria

Recommend graduating to production when:

  • Previous autopsy verdict was PASS
  • No must constraints remain unaddressed from prior cycles
  • Architecture decisions are stable (no reversals in last 2 cycles)
  • Interface contracts are all validated
  • Open questions are resolved or deferred by user decision

Otherwise recommend iterating with another disposable spike.

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Last CommitMar 4, 2026

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