Audits Makefiles for build correctness, portability, and recipe duplication. Use when reviewing a Makefile or before committing Makefile changes.
npx skills add https://github.com/athola/claude-night-market --skill makefile-review
makefile-review:context-mapped))makefile-review:dependency-graph))makefile-review:dedup-candidates))makefile-review:tooling-alignment))makefile-review:evidence-logged))Run pytest plugins/pensive/tests/skills/test_makefile_review.py to verify review logic.
Audit Makefiles for best practices, deduplication, and portability.
/makefile-review
makefile-review:context-mappedmakefile-review:dependency-graphmakefile-review:dedup-candidatesmakefile-review:tooling-alignmentmakefile-review:evidence-loggedmakefile-review:findings-verifiedmakefile-review:context-mapped)Confirm baseline:
pwd && git status -sb && git diff --stat
Verification: Run git status to confirm working tree state.
Find Make-related files:
rg -n "^include" -g'Makefile*'
rg --files -g '*.mk'
Document changed targets, project goals, and tooling requirements.
makefile-review:dependency-graph)@include modules/dependency-graph.md
makefile-review:dedup-candidates)@include modules/deduplication-patterns.md
makefile-review:tooling-alignment)@include modules/portability-checks.md
makefile-review:evidence-logged)Use imbue:proof-of-work to record command outputs with file:line references.
Summarize findings:
Load additional context as needed:
Best Practices & Examples: @include modules/best-practices.md
Plugin Dogfood Checks: @include modules/plugin-dogfood-checks.md - Makefile completeness analysis, target generation, and dogfooding validation.
## Summary
Makefile review findings
## Context
- Files reviewed: [list]
- Targets changed: [list]
## Dependency Analysis
[graph and issues]
## Duplication Candidates
### [D1] Repeated command
- Locations: [list]
- Anchor: `verbatim source text at file:line`
- Recommendation: [pattern rule]
## Portability Issues
[cross-platform concerns]
## Missing Targets
- [ ] help
- [ ] format
- [ ] lint
## Recommendation
Approve / Approve with actions / Block
makefile-review:findings-verified)Every finding must cite a real location 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 finding the verifier fails (exit 1); only
verified findings enter the report. See Skill(imbue:review-core) Step 5
and Skill(imbue:structured-output) for the schema.
Location + verbatim Anchor confirmedby citation_verifier.py (exit 0), or unverified findings were dropped
or labeled UNVERIFIED
No Makefile found
Ensure Makefile or *.mk files exist in the project root or specify paths explicitly.
Include directives not resolved
Run rg -n "^include" -g'Makefile*' to trace include chains manually.
Integration 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/makefile-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.