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maestro-learn

User-invoked learning toolkit — guided reading, investigation, pattern extraction, or second opinions. Manual `/maestro-learn` only; NEVER auto-invoke for code exploration or analysis — route those intents to the analyze step via /maestro-next

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<purpose> Learning toolkit for building understanding of code, decisions, and plans. Four subcommands: - `follow` — guided section-by-section reading with forcing questions → understanding map - `investigate` — hypothesis-driven scientific investigation of a question → evidence-backed report - `decompose` — parallel multi-dimension pattern extraction → reusable pattern catalog - `consult` — alternative perspectives via review / challenge / interactive Q&A

All findings persist to .workflow/knowhow/ and append <learning-entry> blocks to .workflow/specs/learnings.md. </purpose>

<routing> $ARGUMENTS — parse first token as `<subcommand>`, remainder as that subcommand's args.
SubcommandSection
followSubcommand: follow
investigateSubcommand: investigate
decomposeSubcommand: decompose
consultSubcommand: consult

Routing errors:

CodeConditionRecovery
E_NO_SUBCOMMANDNo subcommand provided in $ARGUMENTSDisplay valid subcommands (follow, investigate, decompose, consult), prompt user to select
E_INVALID_SUBCOMMANDUnrecognized first tokenDisplay valid subcommands with usage hints

Subcommand selection guide:

  • follow — understand code logic flow (why/how). Input: code path. Method: sequential reading + forcing questions. Output: understanding map.
  • decompose — extract reusable pattern catalog (what patterns). Input: module/directory. Method: 4 parallel dimension agents. Output: pattern catalog.
  • follow --depth deep covers every branch but focuses on comprehension; decompose focuses on pattern classification and reusability. They are complementary, not alternatives.
  • investigate — answer a specific question via hypothesis-driven search. Input: question. Method: scientific method (evidence → hypothesis → test). Output: evidence-backed report.
  • Key distinction: follow input is a code path (top-down reading); investigate input is a question (hypothesis-driven search). </routing>

Subcommand: follow

Usage: /maestro-learn follow <path|wiki-id|topic> [--depth shallow|deep] [--save-wiki] [-y]

<purpose> Guided reading: walk through content section-by-section using forcing questions to extract patterns, identify assumptions, and build an understanding map. Findings persist to `.workflow/specs/learnings.md` as `<learning-entry>` blocks. </purpose> <context> Arguments — target and optional flags.

Target resolution (auto-detected):

InputResolution
File path (contains / or \)Read source file
Wiki ID (<type>-<slug>)maestro wiki get <id>
Topic stringmaestro search "<topic>" → top result; fallback: Grep src/

Flags:

  • --depth shallow (default): key patterns and structure only
  • --depth deep: every function, every branch, every assumption
  • --save-wiki: create wiki note entry with reading notes
  • -y: Skip confirmation prompts for knowhow/spec writes

Storage read: target file + wiki forward/backlinks + coding-conventions.md + .workflow/specs/learnings.md (dedup) Storage write: .workflow/knowhow/KNW-follow-{slug}-{date}.md + append .workflow/specs/learnings.md

Output boundary: ALL file writes MUST target .workflow/knowhow/KNW-follow-{slug}-{date}.md and .workflow/specs/learnings.md only. NEVER modify source code or files outside these paths. </context>

<invariants> 1. **Read-only traversal** — NEVER modify source code or wiki entries under analysis; all writes go to `.workflow/` only 2. **Forcing questions mandatory** — each section MUST have all 4 forcing questions applied; NEVER skip questions even for trivial sections 3. **Anchor requirement** — every extracted pattern MUST include a `file:line` anchor; unanchored patterns SHALL NOT be persisted to learnings.md 4. **Convention cross-ref** — MUST check every finding against `coding-conventions.md` and mark status (documented/candidate); NEVER persist without status tag 5. **Append-only learnings** — `.workflow/specs/learnings.md` MUST be appended, NEVER overwritten or truncated 6. **Confirmation gate** — unless `-y` is set, MUST present findings and target files via request_user_input before any writes 7. **Depth contract** — `--depth shallow` MUST NOT descend into function bodies; `--depth deep` MUST cover every branch and sub-expression </invariants> <execution>

Phase Gates (MANDATORY, BLOCKING)

GATE 1: Resolve → Context Building (S_RESOLVE → S_CONTEXT)

  • REQUIRED: Target resolved to a readable source (file path, wiki entry, or search result).
  • BLOCKED if: target unresolvable after user prompt (E001/E002).

GATE 2: Reading → Extraction (S_READ → S_EXTRACT)

  • REQUIRED: All sections traversed with 4 forcing questions applied per section.
  • REQUIRED: Depth contract honored — shallow stays at top-level, deep covers every branch.
  • BLOCKED if: any section skipped without forcing questions.

GATE 3: Extraction → Persistence (S_EXTRACT → S_PERSIST)

  • REQUIRED: All extracted patterns have file:line anchors.
  • REQUIRED: Convention cross-ref completed against coding-conventions.md (or marked "unknown status" if W002).
  • BLOCKED if: unanchored patterns remain in extraction results.

GATE 4: Persistence → Completion (S_PERSIST → END)

  • REQUIRED: Unless -y, request_user_input showing files to write and learning-entries to append — user must confirm.
  • REQUIRED: KNW-follow-{slug}-{date}.md written with understanding map.
  • REQUIRED: learnings.md appended (not overwritten) with new learning-entry blocks.
  • BLOCKED if: user declines confirmation — offer to adjust findings before retry.
</execution>

<state_machine>

<states> S_RESOLVE — 解析 target (file/wiki/topic) PERSIST: — S_CONTEXT — 构建 1-hop 上下文邻域 PERSIST: — S_ORDER — 确定阅读顺序 PERSIST: — S_READ — 逐节应用 forcing questions PERSIST: — S_EXTRACT — 提取 patterns、cross-ref conventions PERSIST: — S_PERSIST — 写 understanding map + learning-entry 块 PERSIST: knowhow files </states> <transitions>

S_RESOLVE: → S_CONTEXT WHEN: target resolved → S_RESOLVE WHEN: unresolvable DO: request_user_input with suggestions

S_CONTEXT: → S_ORDER DO: A_BUILD_CONTEXT_WEB

S_ORDER: → S_READ DO: A_BUILD_READING_ORDER

S_READ: → S_EXTRACT DO: A_GUIDED_READ (apply 4 forcing questions per section)

S_EXTRACT: → S_PERSIST DO: A_EXTRACT_PATTERNS

S_PERSIST: → END GATE: unless -y, request_user_input showing files to write and learning-entries to append — proceed only on confirm DO: write KNW-follow + append .workflow/specs/learnings.md [+ wiki note if --save-wiki]

</transitions> <actions>

A_BUILD_CONTEXT_WEB

Target typeContext
Wiki entrymaestro wiki forward <id> + maestro wiki backlinks <id> → read top 3 related
Code fileParse imports → dependency files; grep exports → reverse deps; read top 3 dependents (50 lines)
DirectoryList files, identify entry points → build reading order: entry → core → utils → tests

A_BUILD_READING_ORDER

  • Single file: split by function/class/export boundaries
  • Wiki entry: split by markdown headings
  • Directory: order by dependency (entry points first, leaf last)
  • --depth shallow: top-level structure only; --depth deep: every body and branch

A_GUIDED_READ

For each section, apply 4 forcing questions:

#QuestionExtracts
1"What pattern is being used here?"Design patterns, idioms, conventions
2"Why this approach instead of alternatives?"Trade-offs, rejected options
3"What assumption does this depend on?"Implicit contracts, input shape, ordering
4"What would break if this changed?"Fragility, downstream effects

A_EXTRACT_PATTERNS

Extract: design patterns (with file:line anchors), naming conventions, error handling approach, data flow, assumptions. Cross-ref against coding-conventions.md: documented → "confirmed convention", undocumented → "candidate for maestro-spec add".

Write understanding map: Key Concepts, Patterns (table: name/location/convention status), Assumptions, Open Questions, Connections.

</actions>

</state_machine>

<error_codes>

CodeConditionRecovery
E001No target path/wiki-id/topic providedPrompt user for target
E002Target path not found and wiki/grep search returned no resultsCheck path or broaden search terms
W001Wiki forward/backlinks unavailableProceed without context web; note reduced coverage
W002coding-conventions.md not foundAll patterns marked "unknown status"
W003Target > 1000 linesAuto-switch to shallow; use --depth deep to override
</error_codes>

<success_criteria>

  • 4 forcing questions applied per section
  • Patterns extracted with file:line anchors and convention cross-ref
  • Understanding map + learning-entry blocks written </success_criteria>

<next_step_routing>

  • Deep pattern dive → /maestro-learn decompose <path>
  • Add to specs → /maestro-spec add coding <description>
  • Second opinion → /maestro-learn consult <file> </next_step_routing>

Subcommand: investigate

Usage: /maestro-learn investigate <question> [--scope <path>] [--max-hypotheses N] [-y]

<purpose> Systematic investigation for understanding questions (not bug-fixing). 4-phase scientific method with scope lock, 3-strike escalation, and evidence persistence. </purpose> <context> Arguments — question text and optional flags.

Flags:

  • --scope <path>: Restrict to files under this dir (default: entire project)
  • --max-hypotheses N: Max hypotheses before escalation (default: 3)
  • -y: Skip confirmation prompts for report/spec writes

Storage write:

  • .workflow/knowhow/KNW-investigate-{slug}/evidence.ndjson — structured evidence (one JSON line per item)
  • .workflow/knowhow/KNW-investigate-{slug}/understanding.md — evolving understanding
  • .workflow/knowhow/KNW-investigate-{slug}/report.md — final report
  • .workflow/specs/learnings.md — appended <learning-entry> blocks

Storage read: source files in scope + maestro search + .workflow/specs/learnings.md + debug-notes.md + codebase/architecture.md

Output boundary: ALL file writes MUST target .workflow/knowhow/KNW-investigate-{slug}/ and .workflow/specs/learnings.md only. NEVER modify source code or files outside these paths. </context>

<invariants> 1. **Read-only investigation** — NEVER modify source code files; all writes go to `.workflow/` only 2. **Evidence append-only** — `evidence.ndjson` MUST be appended line-by-line; NEVER overwrite or truncate existing evidence entries 3. **Scope lock** — once `--scope` is resolved in S_FRAME, NEVER expand search scope without explicit user confirmation via S_ESCALATE 4. **Hypothesis cap** — MUST NOT generate more than `--max-hypotheses` (default 3) before triggering escalation; NEVER silently exceed the cap 5. **Structured evidence format** — every evidence entry MUST include `{ts, type, source, relevance, content, note}`; incomplete entries SHALL NOT be appended 6. **3-strike escalation** — after all hypotheses fail, MUST escalate to user via request_user_input; NEVER silently conclude as INCONCLUSIVE without user interaction 7. **Confirmation gate** — unless `-y` is set, MUST present report.md path and learning-entries via request_user_input before final writes </invariants>

<state_machine>

<states> S_FRAME — 解析问题、确定 scope、搜索先验知识 PERSIST: understanding.md (initial) S_EVIDENCE — 系统收集证据 PERSIST: evidence.ndjson S_PATTERN — 比对已知模式 PERSIST: understanding.md (patterns) S_HYPOTHESIZE — 生成假设列表 PERSIST: understanding.md (hypotheses) S_CLI_EXPLORE — CLI 辅助探索(可选) PERSIST: evidence.ndjson (append) S_TEST — 逐假设测试 PERSIST: evidence.ndjson + understanding.md S_ESCALATE — 3-strike 升级 PERSIST: — S_REPORT — 综合报告 + persist PERSIST: report.md + .workflow/specs/learnings.md </states> <transitions>

S_FRAME: → S_EVIDENCE DO: A_FRAME_QUESTION

S_EVIDENCE: → S_PATTERN DO: A_COLLECT_EVIDENCE

S_PATTERN: → S_HYPOTHESIZE DO: match evidence against debug-notes.md + .workflow/specs/learnings.md patterns

S_HYPOTHESIZE: → S_CLI_EXPLORE WHEN: CLI tools enabled (at least one tool in cli-tools.json enabled) AND hypotheses non-trivial (require cross-file tracing or data-flow analysis) DO: A_FORM_HYPOTHESES → S_TEST WHEN: no CLI tools OR trivial hypotheses (answerable by local Grep/Read) DO: A_FORM_HYPOTHESES

S_CLI_EXPLORE: → S_TEST DO: A_CLI_SUPPLEMENT (maestro delegate --to <first-enabled-tool> --mode analysis, run_in_background, STOP)

S_TEST: → S_REPORT WHEN: hypothesis confirmed DO: A_TEST_HYPOTHESIS → S_REPORT WHEN: all hypotheses tested (some confirmed) DO: A_TEST_HYPOTHESIS → S_ESCALATE WHEN: max_hypotheses all failed DO: A_TEST_HYPOTHESIS

S_ESCALATE: → S_HYPOTHESIZE WHEN: user broadens scope or provides new hypothesis DO: request_user_input → S_REPORT WHEN: user selects "Escalate" or still stuck DO: mark INCONCLUSIVE

S_REPORT: → END GATE: unless -y, request_user_input showing report.md path and learning-entries to append — proceed only on confirm DO: A_SYNTHESIZE_REPORT

</transitions> <actions>

A_FRAME_QUESTION

  1. Parse question, generate slug, create KNW-investigate-{slug}/
  2. Search prior knowledge: maestro search "<question>" + search .workflow/specs/learnings.md + read debug-notes.md
  3. Write initial understanding.md (question, prior knowledge summary, scope, timestamp)

A_COLLECT_EVIDENCE

Parallel evidence gathering:

  1. Code search: Grep keywords from question
  2. File inspection: Read most relevant files
  3. Import tracing: follow dependency chain
  4. Git history: git log --oneline -10 -- <relevant-files>

Each item → append evidence.ndjson: {ts, type (code|git|search|doc), source (file:line), relevance (high|medium|low), content, note}

A_FORM_HYPOTHESES

Generate ranked hypotheses: each is specific, testable claim about "how/why". Rank by plausibility (evidence strength). Write to understanding.md:

  • [HIGH] hypothesis — Evidence: {refs}
  • [MEDIUM] hypothesis — Evidence: {refs}

A_CLI_SUPPLEMENT

maestro delegate "PURPOSE: Gather evidence for hypotheses
TASK: Trace call chains and data flows per hypothesis | Find corroborating/contradicting patterns
EXPECTED: JSON [{hypothesis_rank, evidence: [{file, line, supports: bool, explanation}]}]
" --to <first-enabled-tool> --mode analysis

Run_in_background, STOP, wait. On callback: append to evidence.ndjson.

A_TEST_HYPOTHESIS

For each hypothesis (rank order):

  1. Design test: what evidence would confirm/disprove?
  2. Execute: code trace, targeted search, data inspection
  3. Record: append evidence.ndjson with type: "test"
  4. Update: mark hypothesis confirmed / disproved / inconclusive

A_SYNTHESIZE_REPORT

Write report.md: Answer (or INCONCLUSIVE), Evidence Trail table, Hypotheses Tested table, Key Learnings, Open Questions. Append to .workflow/specs/learnings.md: confirmed → roles="implement", disproved → roles="analyze" (gotcha).

</actions>

</state_machine>

<error_codes>

CodeConditionRecovery
E001No question text providedPrompt user for investigation question
E002--scope path not foundCheck path
W001Prior knowledge search returned no resultsProceed without prior context; note cold-start
W002Very few evidence matches (<3)Broaden search terms or expand scope
W003All hypotheses inconclusiveInvestigation marked INCONCLUSIVE
</error_codes>

<success_criteria>

  • Evidence collected and logged to evidence.ndjson (structured NDJSON)
  • At least 1 hypothesis formed and tested
  • 3-strike escalation triggered if all fail
  • Report + learning-entry blocks written </success_criteria>

<next_step_routing>

  • Save to specs → /maestro-spec add debug <finding>
  • Follow code → /maestro-learn follow <path>
  • Decompose patterns → /maestro-learn decompose <module> </next_step_routing>

Subcommand: decompose

Usage: /maestro-learn decompose <path|module> [--patterns <list>] [--save-spec] [--save-wiki] [-y]

<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: execute /maestro-spec add ... for each new pattern (not just recommend)
  • --save-wiki: create wiki note per dimension group
  • -y: Skip confirmation prompts for knowhow/spec writes

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

Output boundary: ALL file writes MUST target .workflow/knowhow/KNW-decompose-{slug}-{date}.md and .workflow/specs/learnings.md only. NEVER modify source code or files outside these paths. </context>

<invariants> 1. **Read-only analysis** — NEVER modify source code files under analysis; all writes go to `.workflow/` only 2. **Evidence-anchored findings** — every pattern MUST include at least one `file:line` anchor from source; unanchored patterns SHALL NOT be persisted 3. **Dedup before persist** — MUST cross-reference against existing `learnings.md` and `coding-conventions.md` before writing; duplicate entries SHALL NOT be appended 4. **Parallel agent isolation** — each dimension agent operates independently; NEVER share state between agents during analysis 5. **Confirmation gate** — unless `-y` is set, MUST present all findings and target files via request_user_input before any writes 6. **Append-only learnings** — `.workflow/specs/learnings.md` MUST be appended, NEVER overwritten or truncated </invariants>

<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 maestro-spec add/wiki create PERSIST: knowhow files </states> <transitions>

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

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 GATE: unless -y, request_user_input showing files to write and patterns to persist — proceed only on confirm DO: append .workflow/specs/learnings.md [+ execute maestro-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 (if file exists)
newNot seen before (or learnings.md absent — treat all as new)

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

</actions>

</state_machine>

<error_codes>

CodeConditionRecovery
E001No target path/module providedPrompt user for target
E002No source files in targetCheck target has .ts/.js files
W001One+ dimension agent failedProceed with available dimensions
W002.workflow/specs/learnings.md missing or malformedTreat all patterns as new; create file on persist
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 → /maestro-learn follow <anchor-file>
  • Second opinion → /maestro-learn consult <target>
  • Add to specs → /maestro-spec add coding ... </next_step_routing>

Subcommand: consult

Usage: /maestro-learn consult <target> [--mode review|challenge|consult] [-y]

<purpose> Structured second-opinion on code, decisions, or plans via three modes: review (3 parallel agents), challenge (adversarial), or consult (interactive Q&A). Findings persist to learnings.md. </purpose> <context> Arguments — target and optional mode flag.

Target resolution (auto-detected):

InputResolution
File pathRead file content
Wiki ID (<type>-<slug>)maestro wiki get <id>
HEAD / stagedgit diff HEAD / git diff --staged
Phase numberResolve the sealed plan artifact through the selected Session's ArtifactRegistry

Flags:

  • --mode review|challenge|consult (default: review)
  • -y: Skip confirmation prompts for knowhow/spec writes

-y in consult mode: skips the final write confirmation only. The interactive Q&A loop is NOT affected by -y (it is the core interaction, not a confirmation). Use --mode review for non-interactive alternative.

Pre-load (optional): recommend maestro load --type spec for conventions + maestro search "<target topic>" for related entries.

Output: .workflow/knowhow/KNW-opinion-{slug}-{YYYY-MM-DD}.md

Output boundary: ALL file writes MUST target .workflow/knowhow/KNW-opinion-{slug}-{YYYY-MM-DD}.md and .workflow/specs/learnings.md only. NEVER modify source code or files outside these paths. </context>

<invariants> 1. **Read-only analysis** — NEVER modify source code, wiki entries, or plan files under review; all writes go to `.workflow/` only 2. **Agent independence** — in review mode, each of the 3 agents (Pragmatist/Purist/Strategist) MUST operate independently without shared state; NEVER pass one agent's findings to another 3. **Evidence-backed verdicts** — every finding MUST include a `location` reference (file:line or section); ungrounded opinions SHALL NOT appear in the report 4. **Mode contract** — MUST execute exactly the mode specified (review/challenge/consult); NEVER mix mode behaviors within a single execution 5. **Append-only learnings** — `.workflow/specs/learnings.md` MUST be appended, NEVER overwritten or truncated 6. **Confirmation gate** — unless `-y` is set, MUST present findings and target files via request_user_input before any writes </invariants>

<state_machine>

<states> S_RESOLVE — 解析 target PERSIST: — S_CONTEXT — 加载 specs/wiki 上下文 PERSIST: — S_EXECUTE — 按 mode 执行分析 PERSIST: — S_SYNTHESIZE — 综合观点、生成报告 PERSIST: outputs S_PERSIST — 写文件、append .workflow/specs/learnings.md PERSIST: knowhow files </states> <transitions>

S_RESOLVE: → S_CONTEXT WHEN: target resolved DO: read target content → S_RESOLVE WHEN: unresolvable DO: request_user_input for clarification

S_CONTEXT: → S_EXECUTE DO: load specs + wiki search (optional, proceed without)

S_EXECUTE: → S_SYNTHESIZE WHEN: mode == review DO: A_REVIEW → S_SYNTHESIZE WHEN: mode == challenge DO: A_CHALLENGE → S_SYNTHESIZE WHEN: mode == consult DO: A_CONSULT

S_SYNTHESIZE: → S_PERSIST DO: merge perspectives → agreements, disagreements, verdict, top 3 recommendations

S_PERSIST: → END GATE: unless -y, request_user_input showing files to write and learning-entries to append — proceed only on confirm DO: write KNW-opinion + append <learning-entry> blocks to .workflow/specs/learnings.md

</transitions> <actions>

A_REVIEW

Spawn 3 Agents in single message:

AgentFocusQuestion
Pragmatistsimplicity, YAGNI, maintenance"Simplest thing that works? Maintenance burden?"
Puristcorrectness, edge cases, type safety"What assumptions can be violated?"
Strategistscalability, architecture alignment"Supports future growth? Fits architecture?"

Each returns: persona, verdict (approve/concern/reject), confidence, findings[{severity, description, location, suggestion}], summary.

A_CHALLENGE

Spawn 1 adversarial Agent:

  • Find weakest assumption
  • Propose concrete breaking scenario
  • Identify single biggest risk
  • Suggest alternative approach
  • Apply forcing questions: "What invalidates this?", "Simplest thing that breaks this?", "What would you regret in 6 months?", "What implicit contract isn't enforced?"

A_CONSULT

Interactive loop:

  1. Agent studies target
  2. Display "Target loaded. What would you like to know?"
  3. request_user_input → Agent answers with code refs → repeat until "done"
  4. Compile Q&A into report
</actions>

</state_machine>

<error_codes>

CodeConditionRecovery
E001No target providedPrompt user for target (path, wiki ID, HEAD, staged, or phase)
E002Unknown --mode valueUse: review, challenge, or consult
E003Target resolution failed — path not found, wiki ID invalid, or no staged changesCheck target exists
W001One review agent failedProceed with available perspectives
W002Specs/wiki pre-load unavailableProceed without convention context; note reduced coverage
</error_codes>

<success_criteria>

  • Mode executed: review (3 parallel agents) / challenge (adversarial) / consult (interactive Q&A)
  • Synthesis with agreements, disagreements, verdict
  • Report written + findings appended to .workflow/specs/learnings.md </success_criteria>

<next_step_routing>

  • Create issue → /maestro-issue create <description>
  • Decompose patterns → /maestro-learn decompose <path>
  • Follow code → /maestro-learn follow <path> </next_step_routing>

レビュー

まだレビューはありません。使ってみた感想をお寄せください。

同じリポジトリのスキル

概要と使いどころ

maestro

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Intent-to-chain planner over the canonical Session/Run lifecycle

日本語の概要は準備中です。原文の説明を表示しています。

catlog22/maestro-flow5662026年10月8日 更新

Quick execution for small tasks — minimal run lifecycle (start + done) with evidence recording. Full LLM capability, scoped to mechanically clear tasks.

日本語の概要は準備中です。原文の説明を表示しています。

catlog22/maestro-flow5662026年10月8日 更新

Create or sync session worktree for parallel dev

日本語の概要は準備中です。原文の説明を表示しています。

catlog22/maestro-flow5662026年10月8日 更新

Manage editing boundary restrictions

日本語の概要は準備中です。原文の説明を表示しています。

catlog22/maestro-flow5662026年10月8日 更新

Maestro Flow 命令帮助系统。搜索命令、浏览技能、工作流推荐、新手引导。Triggers on "maestro-help", "帮助", "命令", "怎么用", "skill", "workflow", "maestro 怎么用".

日本語の概要は準備中です。原文の説明を表示しています。

catlog22/maestro-flow5662026年10月8日 更新

Use when designing, reviewing, refining, fixing, or codifying frontend UI with Maestro's self-contained Impeccable core

日本語の概要は準備中です。原文の説明を表示しています。

catlog22/maestro-flow5662026年10月8日 更新

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