Hunts bugs with evidence trails. Use when investigating unexpected behavior or before merging code with potential hidden defects.
npx skills add https://github.com/athola/claude-night-market --skill bug-review
bug-review:language-detected))bug-review:repro-plan))bug-review:defects-documented))bug-review:fixes-prepared))bug-review:verification-plan))Systematic bug identification and fixing with language-specific expertise.
/bug-review
Verification: Run the command with --help flag to verify availability.
bug-review:language-detectedbug-review:repro-planbug-review:defects-documentedbug-review:fixes-preparedbug-review:verification-planbug-review:findings-verifiedLoad additional context as needed:
@include modules/language-detection.md - Manifest heuristics, expertise framing, version constraints@include modules/defect-documentation.md - Severity classification, root cause analysis, static analyzers@include modules/fix-preparation.md - Minimal patches, idiomatic patterns, test coveragebug-review:language-detected)Identify dominant languages using manifest files (Cargo.toml → Rust, package.json → Node, etc.).
State expertise persona appropriate for the language ecosystem.
Note version constraints (MSRV, Python versions, Node engines).
Progressive: Load modules/language-detection.md for detailed manifest heuristics.
bug-review:repro-plan)Identify reproduction methods:
Document exact commands:
cargo test -p core
pytest tests/test_api.py
npm test -- pkg
Verification: Run pytest -v tests/test_api.py to verify.
Capture blockers and propose mocks when dependencies unavailable.
bug-review:defects-documented)Review code line-by-line, logging each bug with:
Run static analyzers (cargo clippy, ruff check, golangci-lint, eslint).
Use imbue:proof-of-work for reproducible capture.
Progressive: Load modules/defect-documentation.md for classification details and analyzer commands.
bug-review:fixes-prepared)Draft minimal, idiomatic patches using language best practices:
Create tests following Red → Green pattern:
Progressive: Load modules/fix-preparation.md for language-specific patterns and test strategies.
bug-review:verification-plan)Execute reproduction steps with fixes applied.
Capture evidence:
Document remaining risks using imbue:diff-analysis/modules/risk-assessment-framework.
Assign owners and deadlines for follow-up items.
bug-review:findings-verified)Every defect must cite a real file:line and a verbatim Anchor. Write
findings to .review/findings.json and confirm each citation resolves:
python plugins/imbue/scripts/citation_verifier.py \
--findings .review/findings.json --repo-root .
Drop or label UNVERIFIED any defect the verifier fails (exit 1); only
verified defects enter the report. See Skill(imbue:review-core) Step 5
for the protocol and Skill(imbue:structured-output) for the schema.
Severity: Critical (crash/data loss) → High (broken features) → Medium (degraded UX) → Low (edge cases)
Root Causes: Logic errors | API misuse | Concurrency issues | Resource leaks | Validation gaps
## Summary
[Brief scope description]
## Defects Found
### [D1] file.rs:142 - Title
- Severity: High
- Anchor: `verbatim source text at file.rs:142`
- Root Cause: Logic error
- Impact: Data corruption possible
- Fix: [description]
## Proposed Fixes
### Fix for D1
[code diff with explanation]
## Test Updates
[new/updated tests with Red → Green verification]
## Evidence
- Commands executed
- Logs and outputs
- External references
Verification: Run pytest -v to verify tests pass.
file:line + verbatim Anchor, and citation_verifier.py confirmed all citations (exit 0) or unverified defects were dropped or labeled UNVERIFIEDIntegration with protocols.io API for managing scientific protocols. This skill should be used when working with protocols.io to search, create, update, or publish protocols; manage protocol steps and materials; handle discussions and comments; organize workspaces; upload and manage files; or integrate protocols.io functionality into workflows. Applicable for protocol discovery, collaborative protocol development, experiment tracking, lab protocol management, and scientific documentation.
Analyzes job descriptions and generates tailored resumes that highlight relevant experience, skills, and achievements to maximize interview chances
Generate Excalidraw diagrams from natural language descriptions. Use when asked to "create a diagram", "make a flowchart", "visualize a process", "draw a system architecture", "create a mind map", or "generate an Excalidraw file". Supports flowcharts, relationship diagrams, mind maps, and system architecture diagrams. Outputs .excalidraw JSON files that can be opened directly in Excalidraw.
Build and distribute Expo development clients locally or via TestFlight
Use when you have a written implementation plan to execute in a separate session with review checkpoints
Data structure for annotated matrices in single-cell analysis. Use when working with .h5ad files or integrating with the scverse ecosystem. This is the data format skill—for analysis workflows use scanpy; for probabilistic models use scvi-tools; for population-scale queries use cellxgene-census.
Benchling R&D platform integration. Access registry (DNA, proteins), inventory, ELN entries, workflows via API, build Benchling Apps, query Data Warehouse, for lab data management automation.
Comprehensive molecular biology toolkit. Use for sequence manipulation, file parsing (FASTA/GenBank/PDB), phylogenetics, and programmatic NCBI/PubMed access (Bio.Entrez). Best for batch processing, custom bioinformatics pipelines, BLAST automation. For quick lookups use gget; for multi-service integration use bioservices.
Take athola/bug-review from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.