maestro-learn
Automates the learning process based on user intent.
Install
mkdir -p .claude/skills/maestro-learn && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/12641" && unzip -o skill.zip -d .claude/skills/maestro-learn && rm skill.zipInstalls to .claude/skills/maestro-learn
Activation
This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.
Route learning intent to learn-* commandsKey capabilities
- →Route learning requests to optimal commands.
- →Execute commands sequentially with session tracking.
- →Confirm planned chains before execution.
- →Display session summaries with next-step routing.
- →Force specific learning chains.
How it works
The skill parses learning intent, routes it to a specific learning chain, resolves targets, and executes steps sequentially while tracking the session state.
Inputs & outputs
When to use maestro-learn
- →Learning new codebases
- →Investigating patterns
- →Deep-dive module analysis
About this skill
Intent → Route to Chain → Execute Steps → Session Summary
Flags:
-y, --yes— Auto mode: skip confirmation--dry-run— Show planned chain without executing--chain <name>— Force specific chain
Chains:
| Chain | Steps | Use when |
|---|---|---|
follow | learn-follow | Read/understand code or docs |
investigate | learn-investigate | Answer "how/why" questions |
decompose | learn-decompose | Catalog patterns in a module |
second-opinion | learn-second-opinion | Get review/challenge on code |
retro | learn-retro --lens all | Full retrospective |
deep-understand | follow → decompose → second-opinion | Thorough module analysis |
pattern-catalog | decompose --save-spec --save-wiki → second-opinion --mode review | Full pattern extraction + review |
Session state: .workflow/knowhow/.maestro-learn/{session_id}/status.json
</context>
Step 1: Parse & Route
Intent routing:
| Keywords | Route |
|---|---|
File path (contains / or \) | follow |
| read, follow, walk through, understand | follow |
| why, how, what if, investigate | investigate |
| pattern, decompose, catalog | decompose |
| opinion, review, challenge, consult | second-opinion |
| retro, git, commit, decision | retro |
| thorough, deep | deep-understand |
No match → present menu via AskUserQuestion. Max 1 clarification.
Step 2: Resolve Target & Build Args
Map chain to skill invocations. Extract target and flags from arguments.
Step 3: Confirm & Execute
--dry-run: display chain and exit- Not
-y: show plan, ask confirmation - Execute each step sequentially. On failure: retry/skip/abort
- Write session
status.json, display summary </execution>
<error_codes>
| Code | Severity | Condition | Recovery |
|---|---|---|---|
| E001 | error | No intent provided | Provide learning goal or use --chain |
| E002 | error | Cannot determine intent | Rephrase or use --chain |
| E005 | error | Invalid --chain name | Show valid chains |
| W001 | warning | Intent ambiguous | Present options |
| </error_codes> |
<success_criteria>
- Intent routed to correct chain
- Session directory created with status.json
- All chain steps executed
- Session summary displayed with next-step routing </success_criteria>
When not to use it
- →When the intent is not related to learning or investigation.
- →When the user does not provide a learning goal or specific chain.
Limitations
- →Max 1 clarification for ambiguous intent.
- →On failure, the skill can retry, skip, or abort.
- →Requires a learning intent or forced chain name.
How it compares
This skill automates the routing and execution of multi-step learning processes based on user intent, unlike manually selecting and running individual learning commands.
Compared to similar skills
maestro-learn side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| maestro-learn (this skill) | 0 | 2mo | No flags | Intermediate |
| annas-archive-ebooks | 22 | 7mo | Review | Beginner |
| scientific-critical-thinking | 18 | 7mo | Review | Advanced |
| scholar-evaluation | 4 | 2mo | Review | Intermediate |
Try saying
Example prompts that trigger this skill in your AI assistant.
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