PR Babysitter
openinterpreter/openinterpreter
Watches an open GitHub pull request until it merges, handling review comments, diagnosing CI failures and retrying flaky checks along the way.
Plan a larger change as a staged epic: draft epic<Nplan.md with stages of manageable issue specs, then publish confirmed stages as GitHub issues.
$ npx skills add jepegit/cellpy --skill iflow-epic -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install jepegit/cellpy iflow-epic --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/jepegit/cellpy.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.cursor/skills/iflow-epic .claude/skills/iflow-epic && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "iflow-epic" agent skill from https://github.com/jepegit/cellpy/tree/master/.cursor/skills/iflow-epic into .claude/skills/iflow-epic/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "iflow-epic", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/jepegit/cellpy/tree/master/.cursor/skills/iflow-epicType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add jepegit/cellpy --skill iflow-epic -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install jepegit/cellpy iflow-epic --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jepegit/cellpy.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.cursor/skills/iflow-epic .agents/skills/iflow-epic && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "iflow-epic" agent skill from https://github.com/jepegit/cellpy/tree/master/.cursor/skills/iflow-epic into .agents/skills/iflow-epic/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "iflow-epic", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add jepegit/cellpy --skill iflow-epic -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install jepegit/cellpy iflow-epic --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jepegit/cellpy.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.cursor/skills/iflow-epic .cursor/skills/iflow-epic && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "iflow-epic" agent skill from https://github.com/jepegit/cellpy/tree/master/.cursor/skills/iflow-epic into .cursor/skills/iflow-epic/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "iflow-epic", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/jepegit/cellpy.git --path .cursor/skills/iflow-epic--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add jepegit/cellpy --skill iflow-epic -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install jepegit/cellpy iflow-epic --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jepegit/cellpy.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.cursor/skills/iflow-epic .gemini/skills/iflow-epic && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "iflow-epic" agent skill from https://github.com/jepegit/cellpy/tree/master/.cursor/skills/iflow-epic into .gemini/skills/iflow-epic/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "iflow-epic", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install jepegit/cellpy iflow-epicInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add jepegit/cellpy --skill iflow-epic -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/jepegit/cellpy.git skills-src && mkdir -p .github/skills && cp -r skills-src/.cursor/skills/iflow-epic .github/skills/iflow-epic && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "iflow-epic" agent skill from https://github.com/jepegit/cellpy/tree/master/.cursor/skills/iflow-epic into .github/skills/iflow-epic/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "iflow-epic", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add jepegit/cellpy --skill iflow-epic -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install jepegit/cellpy iflow-epic --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jepegit/cellpy.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.cursor/skills/iflow-epic .opencode/skills/iflow-epic && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "iflow-epic" agent skill from https://github.com/jepegit/cellpy/tree/master/.cursor/skills/iflow-epic into .opencode/skills/iflow-epic/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "iflow-epic", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
iflow-epicPlan a larger change as a staged epic: draft epic<Nplan.md with stages of manageable issue specs, then publish confirmed stages as GitHub issues.
Iflow Epic is an agent skill from jepegit/cellpy. Plan a larger change as a staged epic: draft epic<Nplan.md with stages of manageable issue specs, then publish confirmed stages as GitHub issues.
Its SKILL.md is about 3.3k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It works with GitHub. The repository describes itself as: extract and tweak data from electrochemical tests of cells. The licence is MIT.
6 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit ff2c665. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
ghgitFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use gh and git, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Iflow Epic loads about 3.3k tokens when it runs. Until then it costs about 40 tokens; SKILL.md has 1,675 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from jepegit/cellpy at commit ff2c665, republished under its MIT licence (© jepegit). 1,675 words, ~3,318 tokens.
.claude/skills/iflow-epic/SKILL.md (or your agent's skills folder)./iflow-epic)Follow this skill to plan a change that is too large for one issue: divide it into sequential stages, each stage into manageable issues that flow through the normal lifecycle (/iflow-capture → /iflow-plan → /iflow-build → /iflow-close).
The surface has three actions. Drafting (the default when the first token is a number) is write-free on GitHub: its deliverable is .issueflows/05-epics/epic<N>_plan.md, and it never creates GitHub issues, labels, or milestones. publish turns a confirmed plan into real GitHub issues, stage by stage, behind one consolidated confirm. start [N] / stop is a session router (issue #333) — it writes or clears epic_session.md so /iflow can ask before the next child; it never silent-picks and never becomes a fifth executor.
Parse the first token before the draft path:
start [N] — session action (below). Optional N is the epic anchor. Never drafts or publishes.stop / abort — clear .issueflows/01-current-issues/epic_session.md and report. No confirm.<N> — the GitHub issue number of the epic anchor (an umbrella issue describing the large change). Required for draft/publish: an epic without an anchor has nowhere to track progress. If no anchor issue exists yet, stop and point the user at /iflow-issue epic <intent> (creates the anchor with an Epic: title and the epic label when present) — then re-run /iflow-epic <N> with the new number.publish [stage <k>] — run the publish action (below) instead of drafting. Requires <N> first (/iflow-epic <N> publish). Without a stage number, the earliest stage with unpublished specs is chosen.start / stop.Invoke: type iflow epic in chat, or /iflow-epic from the slash menu (iflow-epic also works).
Profile: reasoning — Prioritize deep thinking and careful trade-offs over speed or token economy.
In Cursor: switch to a thinking-capable model before invoking this step (not Auto-only).
Keep scope tight to what this step requires.
Before any git, gh, or .issueflows/ path operation in this workflow:
Resolution order (stop when unambiguous):
root:<path>, repo:<folder-basename> (directory name, e.g. cellpy-core), or repo:owner/name.issue-flow agent resolve [-C <start>] [--from-file <active-file>] [--json]. Use the returned project_root and repo; pass -C <project_root> to other issue-flow agent … subcommands. When the answer came from the workspace registry, the payload sets resolved_via_workspace_default: true.^\d+- → that root..issueflows/ tree visible in the workspace → that root.issueflow-workspace.toml at the workspace root (created with issue-flow workspace init) may name a default member repo; use it when no scaffold matched above. Tell the user the default was used.After resolution, treat the result as <project_root> and <owner/repo>:
git -C <project_root> … (or issue-flow agent … -C <project_root> for supported ops).gh call — never rely on gh's implicit cwd default. For most commands use --repo <owner/repo>; exception: gh repo view takes the repo as a positional arg (gh repo view <owner/repo> …) and rejects --repo..issueflows/… paths are under <project_root>.When .issueflows/04-designs-and-guides/multi-repo-workspaces.md exists, read it for layout and cross-repo guidance.
CLI fast path (optional). If the
issue-flowCLI is onPATH, runissue-flow agent epic-status <N> --jsonfor a deterministic picture of an existing epic: stages, per-issue state and blockers, the current stage, and the next open, unblocked candidates. Use it before re-drafting a stage and in the publish action's stage selection. Read-only; add--localto skip the GitHub lookups.
Gather context (read-only). Read the epic anchor (gh issue view <N> --repo <owner/repo>), skim .issueflows/04-designs-and-guides/ for relevant design docs (cite them in the plan when they shape the approach), and — when graphify-out/GRAPH_REPORT.md exists — skim it before grepping.
Draft the staged plan at .issueflows/05-epics/epic<N>_plan.md using exactly this structure (the publish step parses it):
# Epic #<N>: <title>
Anchor: <GitHub issue URL>
Status: draft
## Goal
<what the whole epic achieves, and how we know it is done>
## Constraints
<hard boundaries, non-goals, ordering requirements>
## Stage 1 — <stage title>
<one paragraph: what this stage proves or delivers>
- Goal: <one-line stage / epoch goal>
### Issue: <title as it will appear on GitHub>
- Spec: <self-contained paragraph: context, scope, acceptance criteria>
- Goal: <crisp acceptance someone else can verify>
- Model: deep | fast | default
- Depends on: none | #<M> | stage <j> issue <k>
- yolo: yes | no — <one-line judgment against the yolo-fitness criteria>
### Issue: <next issue title>
...
## Stage 2 — <stage title>
...The publish action later appends a - Published: #<M> line to each spec it creates — never add those by hand. Older plans without Goal: / Model: markers still parse (Model defaults to default).
Sizing rules for issue specs — every issue must be manageable:
deep (planning / judgment), fast (mechanical), or default (step profile) — copied into the GitHub issue body on publish;#<M> for already-published issues, stage <j> issue <k> placeholders for unpublished ones (the publish step resolves placeholders to real numbers);yes only when it is well-specified, mechanical or pattern-following, low blast radius, and guarded by existing tests — umbrella work, design decisions, and flag-day changes are no.Stage discipline — stages are sequential milestones, each small enough that finishing it can change the plan for the next. Front-load the stage that retires the most risk. Do not plan more than 2–3 stages in detail; sketch later stages as bullets under a ## Later (unstaged) heading instead of fake-precise issue specs.
Review with the user. Present the draft (stage titles, issue titles, dependency graph, yolo flags) and iterate until they confirm. Record the confirmation by changing Status: draft to Status: confirmed in the plan file.
Stop. Creating the GitHub issues is the publish action below, with its own consolidated confirm — never create them from the drafting flow, even if asked to "just create them": run /iflow-epic <N> publish explicitly so the confirm gates stay distinct.
Opt-in one-and-ask session so /iflow asks before the next epic child. Compose only — hand off to /iflow-pick (Continue), /iflow-cycle, /iflow-auto, /iflow-drive. Never silent-pick. Never silent-publish. Never silent worktree-add. See .issueflows/04-designs-and-guides/epic-start.md.
Resolve N. Explicit number wins. Else scan .issueflows/05-epics/epic*_plan.md and run issue-flow agent epic-status <E> --json per plan.
Status: confirmed (or already in flight) and work left (next_candidates non-empty or unpublished specs)./iflow-issue epic to create a new anchor. Stop until they pick.Replace check. If .issueflows/01-current-issues/epic_session.md exists for a different epic, confirm replace before writing. Same epic → refresh / continue the menu.
Prepare (deterministic only). Print issue-flow agent epic-status <N> --json (stage, blockers, next_candidates, unpublished). No GitHub writes.
State-dependent offer (one confirm writes the session and/or names the handoff — do not run cycle/auto/drive until that confirm):
/iflow will ask./iflow-cycle epic <N> [stage k]./iflow-auto / /iflow-drive.next_candidates / budget ask). Do not invent a new batcher.Write session (only after the confirm in step 4 chooses one-and-ask, or they confirmed start-then-handoff that still wants the session):
epic: <N>
mode: one-and-askPath: .issueflows/01-current-issues/epic_session.md. v1 writes one-and-ask only. This file is not an issue<N>_* group — sweep/doctor ignore it.
Report. Epic, mode, first next_candidates entry if any, and the named handoff (or “run /iflow”).
Delete .issueflows/01-current-issues/epic_session.md if present and report. Tokens: stop / abort. No confirm. Missing file → say so and stop.
Turn one stage of a confirmed plan into real GitHub issues. Requires Status: confirmed in epic<N>_plan.md — refuse drafts and point at the review step instead.
stage <k> publishes exactly that stage; otherwise pick the earliest stage containing specs without a Published: line. Specs that already carry - Published: #<M> are skipped (this makes re-runs idempotent).yolo when the judgment says yes and the label exists per gh label list; otherwise note the gap), and the dependency lines after placeholder resolution. stage <j> issue <k> placeholders pointing at already-published specs are rewritten to their real #<M>; placeholders at still-unpublished specs stay verbatim with a note.gh issue create --repo <owner/repo> with the self-contained body (context, scope, acceptance criteria, Goal: and Model: lines when present in the plan, resolved Depends on: #<M> lines, and a closing Part of epic #<N>. line). Immediately record the new number in the plan file as - Published: #<M> under that spec.## Stage <k> — <title> section (or extend it) with one - [ ] #<M> line per created issue, and write it back via gh issue edit <N> --body-file.Published: lines off default. The plan-file edits in step 4 must not sit as unpushed commits on home default. If you are on default (or would commit there), use a chore/issue branch (or a tiny dedicated PR). Never leave Published: #<M> unpushed on home default — that is what later makes git pull --ff-only diverge after a squash (issue #303).gh issue create, no label or milestone writes, no task-list edits on the anchor issue. Reading with gh issue view / gh issue list is always fine. The publish action is the single exception and never runs without its consolidated confirm./iflow never auto-dispatches to /iflow-epic; the user opts in explicitly.start never silent-picks. Continue is today’s /iflow-pick chain on a later turn. Child yolo / ops labels still apply via pick..issueflows/: issue-flow update never touches it.© jepegit, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in .cursor/skills/iflow-epic of jepegit/cellpy.
Open the folder on GitHubat commit ff2c665
Iflow Epic next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Iflow Epic this skilljepegit/cellpy | 110 | — | ~3.3k | Automated safety check: Pass | MIT | |
| PR Babysitteropeninterpreter/openinterpreter | 69k | 3 repos | ~4.2k | Automated safety check: Pass | Apache-2.0 | |
| Diagnosing Superpowers Sessionsobra/superpowers | 296k | 3 repos | ~1.7k | Automated safety check: Pass | MIT | |
| GitHub Deep Researchbytedance/deer-flow | 83k | 5 repos | ~1.3k | Automated safety check: Pass | MIT | |
| Greplooponyx-dot-app/onyx | 32k | 4 repos | ~3.3k | Automated safety check: Pass | MIT | |
| Update V8 Versionopeninterpreter/openinterpreter | 69k | 2 repos | ~845 | Automated safety check: Pass | Apache-2.0 |
openinterpreter/openinterpreter
Watches an open GitHub pull request until it merges, handling review comments, diagnosing CI failures and retrying flaky checks along the way.
obra/superpowers
Investigates a session where Superpowers went wrong, reads the transcripts on disk and produces an evidence-cited report, optionally prepared as a bug report for the maintainers.
bytedance/deer-flow
Researches a GitHub repository over four rounds using the GitHub API and web search, then writes a structured markdown report with timeline, metrics and Mermaid diagrams.
onyx-dot-app/onyx
Iteratively improves a PR (GitHub), MR (GitLab), or shelved changelist (Perforce) until Greptile gives it a 5/5 confidence score with zero unresolved comments.
openinterpreter/openinterpreter
Bumps the pinned v8 and rusty_v8 versions in Codex, validates the release-candidate path with the v8-canary check, and traces failures to upstream build changes.
mvanhorn/last30days-skill
Research what people actually say about any topic in the last 30 days.
jepegit/cellpy
Use GitHub CLI to snapshot or wait on CI for a pull request or workflow run.
jepegit/cellpy
Respond in a terse "smart caveman" style that keeps all technical substance but drops filler, articles, and pleasantries.
jepegit/cellpy
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.
jepegit/cellpy
Condense old solved issue groups into one dated summary file, then delete the originals.
jepegit/cellpy
Capture a GitHub issue locally as issue<numberoriginal.md and archive other current issues by done status.
jepegit/cellpy
Triage a GitHub issue's comment thread into the curated, bucketed summary section of issue<Noriginal.md.
Works with
Plan a larger change as a staged epic: draft epic<Nplan.md with stages of manageable issue specs, then publish confirmed stages as GitHub issues. Iflow Epic is an agent skill from jepegit/cellpy.md with stages of manageable issue specs, then publish confirmed stages as GitHub issues.
Run `npx skills add jepegit/cellpy --skill iflow-epic -a claude-code`. Or copy the skill folder (.cursor/skills/iflow-epic in jepegit/cellpy) into .claude/skills/iflow-epic in your project. Claude Code loads it when a task matches its description.
Run `npx skills add jepegit/cellpy --skill iflow-epic -a codex`. Or copy the skill folder (.cursor/skills/iflow-epic in jepegit/cellpy) into .agents/skills/iflow-epic in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add jepegit/cellpy --skill iflow-epic -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/iflow-epic, .gemini/skills/iflow-epic, .github/skills/iflow-epic and .opencode/skills/iflow-epic in your project.
Going by SKILL.md and its folder, Iflow Epic needs the command-line tools its instructions call (gh and git).
SKILL.md contains no URLs. Its commands use gh and git, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Iflow Epic is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 3.3k tokens (SKILL.md is roughly 13k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Iflow Epic: PR Babysitter (openinterpreter/openinterpreter, 69k stars), Diagnosing Superpowers Sessions (obra/superpowers, 296k stars), GitHub Deep Research (bytedance/deer-flow, 83k stars) and Greploop (onyx-dot-app/onyx, 32k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
jepegit (a GitHub user) maintains it in jepegit/cellpy, which has 110 GitHub stars. The repository holds 13 skills in this directory. The repository was last updated on October 6, 2026.
Source: jepegit/cellpy on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.