Use when a problem has just been solved and verified working — the fix is fresh, the investigation is in recent history, and the solution is non-trivial enough to capture for future reference
Captures problem solutions while context is fresh, creating structured documentation in docs/solutions/ with YAML frontmatter for searchability. Uses parallel subagents to gather context, extract the solution, find related docs, develop prevention strategies, and classify the category — then the orchestrator assembles and writes a single final file.
<critical_requirement> Only ONE file gets written — the final documentation.
Phase 1 subagents return TEXT DATA to the orchestrator. They must NOT write files. Only the orchestrator (Phase 2) writes the final documentation file. </critical_requirement>
Trigger phrases: "that worked", "it's fixed", "working now", "problem solved", "tests are passing"
Use when:
Don't use when:
/superpowers:compound # Document the most recent fix
/superpowers:compound [brief context] # Provide additional context hint
/compound --compact # Single-pass mode for context-constrained sessionsOutput location: docs/solutions/[category]/[filename].md
Categories auto-detected from problem type:
build-errors · test-failures · runtime-errors · performance-issues · database-issues · security-issues · ui-bugs · integration-issues · logic-errors
Always run full mode by default. Use compact-safe mode only when explicitly requested.
Before Phase 1, read MEMORY.md from the auto memory directory. If relevant entries exist for the problem being documented, pass them as a labeled supplementary excerpt to the Context Analyzer and Solution Extractor prompts. Tag any memory-sourced content incorporated into the final doc with "(auto memory [claude])".
Launch these five subagents IN PARALLEL — each returns text data only, no files:
| Subagent | Returns |
|---|---|
| Context Analyzer | YAML frontmatter skeleton (problem type, component, symptoms) |
| Solution Extractor | Root cause + working solution with code examples |
| Related Docs Finder | Cross-references, related issues, stale doc candidates |
| Prevention Strategist | Prevention strategies and test cases |
| Category Classifier | Final docs/solutions/[category]/[filename].md path |
WAIT for all Phase 1 subagents to complete, then:
mkdir -p docs/solutions/[category]/docs/solutions/[category]/[filename].mdAfter writing, check whether older docs should be refreshed. superpowers:compound-refresh is not a default follow-up — invoke it selectively:
| Condition | Action |
|---|---|
| New fix contradicts a prior doc's recommendation | Invoke superpowers:compound-refresh [doc-name] |
| New fix supersedes an older solution | Invoke with narrowest useful scope |
| Multiple related candidates in same area | Ask user whether to run targeted refresh |
| No related docs found, or docs still consistent | Skip |
Never invoke superpowers:compound-refresh without a scope argument.
After Phase 2, optionally invoke specialized agents based on problem type:
| Problem type | Agent |
|---|---|
performance_issue | performance-oracle |
security_issue | security-sentinel |
database_issue | data-integrity-guardian |
test_failure | cora-test-reviewer |
| Code-heavy | kieran-rails-reviewer + code-simplicity-reviewer |
When context is tight: skip Phase 1 subagents entirely. In one sequential pass, extract problem/root cause/solution from conversation history (plus any relevant MEMORY.md notes), classify the category, and write a minimal doc with YAML frontmatter, 1-2 sentence problem description, root cause, key code snippets, and one prevention tip. Skip Phase 3 reviews.
| ❌ Wrong | ✅ Correct |
|---|---|
Subagents write files like context-analysis.md, solution-draft.md | Subagents return text data; orchestrator writes one final file |
| Research and assembly run in parallel | Research completes → then assembly runs |
| Multiple files created during workflow | Single file: docs/solutions/[category]/[filename].md |
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