skills/dev-worktree/SKILL.md
This skill should be used when the user asks to "create an isolated worktree", "set up worktree for feature", "create a feature branch worktree", or needs workspace isolation with automatic dependency setup and test verification.
npx skillsauth add edwinhu/workflows dev-worktreeInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Create an isolated git worktree for feature work, ensuring workspace isolation and clean baseline.
CRITICAL: Verify worktree directory is gitignored to prevent accidental commits.
Run:
if ! git check-ignore -q .worktrees 2>/dev/null; then
echo "Adding .worktrees/ to .gitignore"
echo ".worktrees/" >> .gitignore
git add .gitignore
git commit -m "chore: add .worktrees/ to gitignore
Co-Authored-By: Claude <[email protected]>"
fi
Description: dev-worktree: check if .worktrees is gitignored and add if missing
Extract from .planning/PLAN.md first line or infer from feature name:
Run:
# Extract from PLAN.md if exists
feature_name=$(grep -m1 '^# ' .planning/PLAN.md 2>/dev/null | sed 's/^# //' | tr '[:upper:] ' '[:lower:]-' | sed 's/[^a-z0-9-]//g')
# Or ask user if needed
Description: dev-worktree: extract or prompt for feature name
Branch name format: feature/${feature_name}
Run:
# Create worktree with new branch
git worktree add .worktrees/${feature_name} -b feature/${feature_name}
# Change to worktree directory
cd .worktrees/${feature_name}
Description: dev-worktree: create isolated git worktree with feature branch
Auto-detect and run setup based on project files:
Run:
# Node.js
if [ -f package.json ]; then
npm install
fi
# Python
if [ -f requirements.txt ]; then
pip install -r requirements.txt
fi
if [ -f pyproject.toml ]; then
poetry install || pip install -e .
fi
if [ -f pixi.toml ]; then
pixi install
fi
# Rust
if [ -f Cargo.toml ]; then
cargo build
fi
# Go
if [ -f go.mod ]; then
go mod download
fi
Description: dev-worktree: auto-detect project type and install dependencies
A worktree without a verified baseline is a trap. You will not know if failures are yours or pre-existing.
Run:
# Examples - auto-detect test command
if [ -f package.json ] && grep -q '"test"' package.json; then
npm test
elif [ -f Cargo.toml ]; then
cargo test
elif [ -f pytest.ini ] || [ -f pyproject.toml ]; then
pytest
elif [ -f go.mod ]; then
go test ./...
fi
Description: dev-worktree: auto-detect and run project test suite
If tests fail: Report failures and note that baseline has issues. Do NOT proceed silently. If tests pass: Report clean baseline.
Report completion status:
✓ Worktree created: .worktrees/${feature_name}
✓ Branch: feature/${feature_name}
✓ Dependencies installed
✓ Tests passing (or note if failed)
Ready for implementation.
Execute before creating worktree:
Execute after creating worktree:
Critical - Never deviate from these rules:
Critical - Always follow these rules:
# .worktrees/ gitignored → create worktree → npm install → npm test
# .worktrees/ gitignored → create worktree → pixi install → pytest
# .worktrees/ gitignored → create worktree → cargo build → cargo test
After worktree creation, the workspace is ready. Proceed to dev-implement to start implementing tasks.
Current working directory: .worktrees/${feature_name}
All implementation work happens here, keeping main workspace clean.
development
Build the meeting-level proxy-voting × ownership panel on the WRDS SGE grid — ISS N-PX fund votes reduced to (item × block) direction cells, joined to institutional and mutual-fund ownership. Use when working with risk.voteanalysis_npx, N-PX fund-level votes, ISS→CRSP fund linking, index/passive/active voting blocks, or a proxy-voting panel that needs ownership attached.
development
Use when "CRSP CIZ", "CRSP v2", "CRSP flat file format 2.0", "crsp.dsf_v2 / msf_v2", "StkDlySecurityData", "StkMthSecurityData", "StkSecurityInfoHist", "stocknames_v2", "DlyRet / MthRet / DlyPrc / MthPrc", "SHRCD or EXCHCD equivalent in new CRSP", "SIZ to CIZ migration", "CRSP data after 2024", "CRSP delisting returns", "CRSP cumulative adjustment factors", "CRSP index INDNO / INDFAM", or any CRSP stock/index query where the legacy SIZ column names no longer exist.
development
Use when linking or deduping datasets by entity name rather than a shared key — 'fuzzy match', 'fuzzy name matching', 'entity resolution', 'record linkage', 'match company/person names', 'dedupe entity names', 'name-based join', 'bridge identifiers' (CIK ↔ permno ↔ gvkey ↔ wficn ↔ EIN ↔ personid), or any use of char n-gram TF-IDF, cosine similarity on names, `sparse_dot_topn`, or RapidFuzz at scale.
development
Use when building a publication-quality table in Python — 'regression table', 'results table', 'summary statistics table', 'etable', 'coefplot', 'great_tables', 'GT', 'gt table', 'format a table for the paper', 'export table to LaTeX/HTML', significance stars, spanners, or column formatting for a table headed into a paper, slide deck, or notebook.