Skill Index

maestro-flow/

learn-decompose

community[command]

Extract design patterns from code into specs and wiki

$/plugin install maestro-flow

details

<purpose> Systematic pattern extraction: analyze module across 4 dimensions using parallel agents, catalog findings with code anchors, persist to specs/wiki. Produces reusable pattern catalog. </purpose> <context> $ARGUMENTS — target path/module and optional flags.

Target resolution: file path → that file; directory → all source files; module name → Glob src/**/{module}*.

Flags:

  • --patterns <list>: Comma-separated pattern names to look for (default: detect all)
  • --save-spec: Skill("spec-add") for each new pattern
  • --save-wiki: create wiki note per dimension group

Storage read: target files + coding-conventions.md + .workflow/specs/learnings.md (dedup) Storage write: .workflow/knowhow/KNW-decompose-{slug}-{date}.md + append .workflow/specs/learnings.md </context>

<state_machine>

<states> S_RESOLVE — 解析 target 为具体文件列表 PERSIST: — S_DEDUP — 加载已有 patterns 用于去重 PERSIST: — S_ANALYZE — 4 维度并行 Agent 分析 PERSIST: — S_CROSSREF — 交叉引用、去重、标记状态 PERSIST: — S_CATALOG — 生成 pattern catalog 报告 PERSIST: outputs S_PERSIST — 写文件 + 可选 spec-add/wiki create PERSIST: knowhow files </states> <transitions>

S_RESOLVE: → S_DEDUP WHEN: file list resolved → S_RESOLVE WHEN: unresolvable DO: AskUserQuestion

S_DEDUP: → S_ANALYZE DO: read coding-conventions.md + .workflow/specs/learnings.md → build known pattern set

S_ANALYZE: → S_CROSSREF DO: A_PARALLEL_DIMENSION_ANALYSIS

S_CROSSREF: → S_CATALOG DO: A_CROSSREF_DEDUP

S_CATALOG: → S_PERSIST DO: write KNW-decompose report (grouped by dimension: pattern table + details)

S_PERSIST: → END DO: append .workflow/specs/learnings.md [+ spec-add if --save-spec] [+ wiki note if --save-wiki]

</transitions> <actions>

A_PARALLEL_DIMENSION_ANALYSIS

Spawn 4 Agents in single message:

AgentDimensionLooks for
1StructuralClass hierarchy, composition, DI/IoC, Factory/Builder/Singleton, barrel exports
2BehavioralEvent flow, middleware chains, observer/pub-sub, command/strategy, state machines
3DataRepository/DAO, DTO pipelines, caching (memo/LRU/TTL), serialization, schema validation
4ErrorError boundaries, retry/backoff/circuit-breaker, fallback chains, guard clauses, logging

If --patterns specified: agents focus only on named patterns.

Each agent returns: [{ name, dimension, confidence (high/medium/low), anchors [file:line], description, rationale, tradeoffs }]

A_CROSSREF_DEDUP

For each finding, match against known pattern set:

StatusCondition
documentedAlready in coding-conventions.md
knownIn .workflow/specs/learnings.md
newNot seen before

Flag contradictions (finding conflicts with documented convention). Merge duplicates across agents (same pattern found by multiple dimensions).

</actions>

</state_machine>

<error_codes>

CodeConditionRecovery
E002No source files in targetCheck target has .ts/.js files
W001One+ dimension agent failedProceed with available dimensions
W003Large target (>50 files)Consider --patterns filter
</error_codes>

<success_criteria>

  • 4 dimension agents spawned in parallel, findings with anchors
  • Cross-reference: documented/known/new status assigned
  • Pattern catalog written + .workflow/specs/learnings.md appended </success_criteria>

<next_step_routing>

  • Follow-along → /learn-follow <anchor-file>
  • Second opinion → /learn-second-opinion <target>
  • Add to specs → /spec-add coding ... </next_step_routing>

technical

github
catlog22/maestro-flow
stars
340
license
unspecified
contributors
1
last commit
2026-05-25T02:58:12Z
file
.claude/commands/learn-decompose.md

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