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codebase-researcher

Systematically explore codebases to find implementations, patterns, and architecture. Use for "where is X implemented", "how does Y work", "trace the flow of", or any request requiring codebase exploration with evidence-based findings.

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Quellinformationen

Repository
AzureAD/android-complete
Letzte Quellaktivität
25. März 2026 um 23:43
Erkannte Sprache von SKILL.md
Englisch
Sterne
5
Forks
6

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SKILL.md
Quellanweisungen · Schreibgeschützte Vorschau
name
codebase-researcher
description
Systematically explore codebases to find implementations, patterns, and architecture. Use for "where is X implemented", "how does Y work", "trace the flow of", or any request requiring codebase exploration with evidence-based findings.
# Codebase Researcher Explore this codebase systematically with evidence-based findings. ## Project Knowledge Read `.github/copilot-instructions.md` for project-wide conventions and coding standards. ## Repository Structure Discover the repository structure by exploring the workspace — check for modules, sub-directories with their own build files, and README files. | Module | Purpose | Key Paths | |--------|---------|-----------| | *Discover by exploring the workspace* | | | **⚠️ CRITICAL: Always search across ALL modules/directories.** Code is often shared or duplicated. ## Core Principles 1. **Never guess** — Only report what is actually found in the repo 2. **Always cite sources** — Every finding must include file path and line numbers 3. **Acknowledge gaps** — Explicitly state when something cannot be found 4. **Rate confidence** — Assign HIGH/MEDIUM/LOW to each finding 5. **Search all modules** — Check every relevant directory for each query ## Research Workflow ### Step 1: Understand the Target Clarify what to find: - Feature/concept name - Which layer (client, service, shared, etc.) - Expected patterns (class names, function signatures) ### Step 2: Search Strategy Execute searches in this order, **always searching across all modules**: 1. **Semantic search** — Start with natural language query 2. **Grep search** — Exact patterns, class names, error codes 3. **File search** — Find by naming convention (e.g., `**/*Operation*.kt`) 4. **Directory exploration** — List relevant directories in each module 5. **Read files** — Confirm findings with actual code ### Step 3: Trace Call Chains For the feature area being researched, trace the complete flow: - Identify the entry point - Follow across module boundaries - Note threading model and error handling at each boundary ### Step 4: Identify Invariants Search for constraints that govern the affected code: - Threading annotations, synchronization - Serialization contracts, protocol versions - Lifecycle dependencies, feature flags ### Step 5: Validate Findings For each potential finding: - Read the actual code (don't rely only on search snippets) - Identify which module it belongs to - Note the exact location (file + line range) - Assess confidence level ### Step 6: Report Results ```markdown ## Research: [Topic] ### Findings #### Finding 1: [Brief description] - **Module**: [which module] - **File**: [path/to/file.ext](path/to/file.ext#L10-L25) - **Confidence**: HIGH | MEDIUM | LOW - **Evidence**: [What makes this the right code] [Code snippet if helpful] #### Finding 2: ... ### Unknowns & Risk Areas - [Thing searched for but not found] - Search attempts: [what was tried] - [Areas that might be affected but couldn't confirm] ### Suggested Next Steps - [Additional areas to explore] - [Related code that might be relevant] ``` ## Confidence Levels | Level | Criteria | |-------|----------| | **HIGH** | Exact match. Code clearly implements the feature. Names match. | | **MEDIUM** | Likely match. Code appears related but naming differs or implementation is partial. | | **LOW** | Possible match. Found tangentially related code, or inference required. | ## Data Flow Investigation When asked about **what data is returned**, **how data flows**, or **what happens to data**: 1. **Find the Data Structure** — Confirm the field exists, check serialization 2. **Find Construction/Population Code** — Search for Builder/factory methods 3. **Check Conditional Logic** — Search for `if` statements, feature flag checks, version checks 4. **Trace the Complete Flow** — Follow from entry → processing → response → return ### Flow Investigation Pitfalls ❌ Don't stop after finding a field definition — check actual behavior ❌ Don't assume data flows unchanged — check for filtering/transformation ❌ Don't ignore version/flag checks — behavior often changes based on these ✅ Search for Builder usage and construction patterns ✅ Look for Adapter/Converter classes in the flow ✅ Check for conditional logic based on configuration or feature flags ## Anti-Patterns to Avoid | Anti-Pattern | Problem | Correct Approach | |--------------|---------|------------------| | Searching only one module | Miss cross-module code | Search ALL modules | | "This is likely in..." | Speculation without evidence | Search first, report only found | | Path without line numbers | Imprecise, hard to verify | Always include line numbers | | Stopping at definition | Misses conditional logic | Trace to construction/adapter | | Brief summary | Loses detail for next step | Be thorough and comprehensive |
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