with one click
cellpy
cellpy contains 21 collected skills from jepegit, with repository-level occupation coverage and site-owned skill detail pages.
Skills in this repository
Post-merge branch hygiene: switch to the default branch and delete merged local branches under one consolidated confirm. Never -D.
Process many issues hands-off in a row: resolve a queue, then run each through the yolo chain under one up-front confirm. Stops only when input is strictly necessary.
Plan a larger change as a staged epic: draft epic<N>_plan.md with stages of manageable issue specs, then publish confirmed stages as GitHub issues.
Front door: choose the next issue, create the issue branch, and run /iflow-init.
Smart dispatcher: detect where the focus issue stands and dispatch to /iflow-init, /iflow-plan, /iflow-start, or /iflow-close.
Read-only snapshot of where every issue stands, locally and on GitHub.
Respond in a terse "smart caveman" style that keeps all technical substance but drops filler, articles, and pleasantries. Use when the user asks for caveman mode, token-greedy / terse answers, or says "be brief" / "stop wasting tokens". Stays active across the session once on; off via "stop caveman" / "normal mode".
Interview the user relentlessly about a plan or design until every branch of the decision tree is resolved, then feed the conclusions into the issue plan. Use when the user wants to stress-test a plan, asks to "grill me", or during /iflow-plan when grilling is turned on. Off via "stop grilling" / "normal mode".
Condense old solved issue groups into one dated summary file, then delete the originals. Destructive, one consolidated confirm.
Finish and land the focus issue: tests, optional version bump, status update, commit, push, and PR.
Triage a GitHub issue's comment thread into the curated, bucketed summary section of issue<N>_original.md.
Interactive session: one long-lived branch + GitHub issue for a stream of small iterative fixes, landed together via /iflow-close.
Rebuild the graphify knowledge graph (graphify-out/) by shelling out to `issue-flow graphify` or `graphify` directly.
Update the changelog when landing an issue: append a bullet to [Unreleased], or promote it to a release section after a version bump.
Capture a GitHub issue locally as issue<number>_original.md and archive other current issues by done status.
Park work on the current issue without closing it: update status, move the group to 02-partly-solved-issues/, optional WIP commit.
Draft a structured plan in issue<N>_plan.md and get explicit user confirmation before any implementation starts.
Implement the confirmed plan for the focus issue using the project's documented conventions.
Bump the project version following the project's release strategy: static pyproject versions via uv, or tag-derived versions via a planned git tag.
Chain init → plan → start → close yolo for a small, low-risk issue under one consolidated confirm. Stops on any ambiguity.
Run the /build slash command: rebuild the graphify knowledge graph for the project (graphify-out/graph.html, GRAPH_REPORT.md, graph.json) by shelling out to `issue-flow build` (or `graphify` directly). Off-path: never auto-dispatched by /iflow. Forwards trailing args verbatim to graphify.