analytics
Set up and configure analytics tracking with proper event taxonomy.
implement
Build a feature in an isolated worktrunk worktree, commit, and open a draft PR. Use whenever the user asks to implement, build, add, or fix something that touches code — e.g. '/implement', 'implement X', 'build X', 'add X', 'fix X', 'let's build it', 'ship it', 'drop this in', 'go code it up'. Skip for questions, explanations, research, and trivial one-line docs/config edits. Skip if already inside a worktrunk worktree (just implement directly).
Full skill instructions
A lean implementation flow. You've already discussed what to build in the conversation — this skill takes it from there: isolate to a worktree, implement, commit, push, open a draft PR. Stay in the worktree so the user can iterate on review feedback without switching. The PR is the merge path; wt merge is never used.
/worktree-dev:worktree-dev flow insteadState in one sentence what you're about to build. Trust the conversation context — don't open an AskUserQuestion loop.
/worktree-dev:worktree-dev and stop.Pick a descriptive branch name. Use repo convention prefixes (fix/, add/, feat/, chore/, refactor/, perf/) — check git log --oneline -10 if unsure.
wt switch --create <branch-name> --yes
This switches your working directory into the new worktree.
tsc --noEmit, bun run lint, cargo check, etc.), run it once before committing. Don't fabricate commands; if unsure what the repo uses, skip.git commit -m "$(cat <<'EOF'
<short message — match recent commit style>
EOF
)"
Rules (same as /commit):
git log --oneline -10).--no-verify. Never --amend.git push -u origin <branch-name>
Detect the base branch:
gh repo view --json defaultBranchRef -q '.defaultBranchRef.name'
Open a draft PR:
gh pr create --draft --title "<short title, under 70 chars>" --body "$(cat <<'EOF'
## Summary
<1-3 bullets — what changed and why>
## Test plan
- [ ] <relevant check>
- [ ] <relevant check>
EOF
)"
fix/DEV-123-..., feat/42-...), include Closes #<number> in the body.The whole point of worktree isolation is that multiple features can run side-by-side on different ports. Next.js, Vite, and most modern frameworks auto-increment the port if the default is taken — no flags needed.
Env files should already be present — worktrunk's user-level post-create hook at ~/.config/worktrunk/config.toml runs wt step copy-ignored after every wt switch --create, which copies .env.local, .env.*, node_modules, and other gitignored files from the source worktree. If the dev server fails on missing process.env.X, the hook didn't fire — fall back to a manual wt step copy-ignored --from <source-branch> before retrying.
package.json for a dev script. If none exists (or the project isn't web/JS), skip this step.bun.lockb → bun, pnpm-lock.yaml → pnpm, yarn.lock → yarn, else npm.run_in_background: true:
<pkg-manager> run dev
BashOutput until you see the "ready"/"local"/"listening" line that includes a port (http://localhost:3001, :5174, etc.).If the ready line doesn't appear within ~15 seconds, report that startup is still in progress, give the expected port (default + worktree count), and continue — don't block the skill on server startup.
Tell the user:
http://localhost:<port>wt remove to clean up."When the user signals the implement flow is done — PR approved, no more in-session iteration needed, or they switch topics — kill any background tasks this skill started so they don't leak across sessions.
kill the background task id, or ps aux | grep -E "next.dev|vite|bun.*dev" | grep -v grep | awk '{print $2}' | xargs -r killrun_in_background: true tasks this skill startedIf the user is actively iterating (asking for follow-up edits in the same session), keep the server running — they'll want the preview. The trigger for cleanup is session boundary, not every tool call.
wt switch - back to the original worktree — stay here for iteration.wt merge — merging happens via the PR in GitHub.wt remove — that's manual after PR merge./worktree-dev:worktree-dev.--no-verify, no amending existing commits.Set up and configure analytics tracking with proper event taxonomy.
Set up, audit, and improve analytics tracking to measure marketing and product decisions.
Unified indexing and search across code repositories, documentation, research papers, datasets, local folders, Slack, and Google Drive.
Implements Manus-style file-based planning to organize and track progress on complex tasks. Creates task_plan.md, findings.md, and progress.md. Use when asked to plan out, break down, or organize a multi-step project, research task, or any work requiring 5+ tool calls. Supports automatic session recovery after /clear.
firecrawl deep research
firecrawl research papers
firecrawl market research
firecrawl lead research
Research organization and collaboration through Google Workspace integration.
tavily research
Web search API for LLMs with real-time data access, content extraction, site crawling, and AI-powered research.
Universal AI-powered web scraper for any platform. Scrape data from Instagram, Facebook, TikTok, YouTube, LinkedIn, X/Twitter, Google Maps, Google Search, Google Trends, Reddit, Airbnb, Yelp, and 15+ more platforms. Use for lead generation, brand monitoring, competitor analysis, influencer discovery, trend research, content analytics, audience analysis, review analysis, SEO intelligence, recruitment, or any data extraction task.
Effortlessly Convert PDFs to JSON with PDFParser
Transform Data into Insights with Ajelix BI in Under a Minute
Turn Data into Actionable Insights with Flowpoint.ai
Data analysis and visualization solution.
Your Ultimate Assistant for Excel, SQL, Regex, and Scripting
Monitor LinkedIn Company Info Easily
Unlock Data Insights Effortlessly with Generative AI Analytics.
Seneca: The Minimalist's Choice for Note-Taking