Resume
Skill2 starsChanged 5 months agoApache-2.0View on GitHub
Reconstruct the exact pipeline position from disk, load the frontier spec in full, list failed approaches not to retry, and present the next action. Read-only, any time.
58 other projects use a version of this.
Adopted by
Most recently taken up by
- FabianoArthur/claude-code-kitchentheir own version, first seen Nov 8, 2026
- leinardi/adversarial-review-looptheir own version, first seen Nov 8, 2026
- Dariusplayer09/adaptive-skillstheir own version, first seen Nov 8, 2026
- ArcticFox2029/chamnantheir own version, first seen Nov 5, 2026
- inkatze/planwrighttheir own version, first seen Nov 4, 2026
- vzhukovs/podman-desktop-kittheir own version, first seen Nov 1, 2026
Used with
Projects with it also use pause, report and 8 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
kennethleungtySkillpause
Pause — stop the music (alias for /stop)
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MicrosoftSkillreport
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MicrosoftSkillconfig
Show or change TokenEconomizer's settings: turn micro-skills, tool pruning or the loop guard on or off, or tune them, for this repository or (with --global) every repository. Use when the user asks to configure, enable or disable TokenEconomizer or one of its mechanisms.
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sahinSkillexecute
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u9401066Skillbug-fix
Structured bug fixing workflow with root cause analysis and regression prevention. Triggers: BF, 修 bug, fix bug, debug, 除錯, 錯誤, error, 問題, issue, 修復, fix, 故障, fault, 異常, exception, 失敗, failure, 不能用, broken, 壞掉.
Also in 3 projects that use this
GitHubSkillstate-management
CoreAI Sandbox's TanStack Query + mock-JSON data layer. USE WHEN: editing data-fetching hooks (`app/hooks/use*.ts`), adding mock data in `app/data/`, or wiring a component to query state.
Also in 3 projects that use this
- +1 more from microsoft
Other versions58 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 58
- H-mmer/pentest-agents★ 815same name
- bitwize-music-studio/claude-ai-music-skills★ 589same name
- EmeaAppGbb/spec2cloud★ 100same name
- thiagofinch/mega-brain★ 95same name
- saksham10arora-dotcom/everything-claude-codex★ 74same name
- thesun4sky/jobstack★ 50same name
- junjiezhou1122/ideascientist-claude-code★ 35same name
- nimadorostkar/Claude-Skills-collection★ 33same name
- wrg32786/aigent-os★ 25same name
- Hassaan146/claude-skills★ 18same name
48 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository22 other files it gives its agents.
- A1 — Design & Master-Spec ConsistencySkill
- A2 — Spec ReviewSkill
- A3 — PolishSkill
- A4 — North Star DirectionSkill
- A5 — Web AuditSkill
- AcceptSkill
- AmendSkill
- BrainstormSkill
- ClarifySkill
- ClosureSkill
- ConstituteSkill
- DesignSkill
- DiscoverSkill
- FeatureSkill
- Final — The F-PassSkill
- HelpSkill
- ImplementSkill
- InitSkill
- MicroSkill
- North StarSkill
- SpecifySkill
- StatusSkill
The file
We split this skill into the rules it gives an agent
2 rules. 0 are common, 2 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 51 edited versions we read keep these.
2
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 23
Read approval state: build a map of approved phases, complete groups, implemented specs.
- Distinctive: line 25
Check for partial work at the frontier: implementation files present but no approval, uncommitted git changes, logged failed approaches.
“Common” is measured: kept by at least 6 in 10 of the 51 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Resume — Pick Up Where I Left Off
The "I just got here — what's happening?" command. Reconstructs the pipeline position from disk, loads only the active group's state and the frontier (next) spec in full, lists failed approaches not to retry, and presents the next action. Read-only — never writes approval records.
Inputs
approvals/master.json+ the one activegroup-{N}.json(max two approval files).genesis/project-state.md(active feature + mode)units.json(lowfield)tried.json(failed approaches), filtered to the frontier spec- The most recent journal entry under
journal/(for absence sizing) git status(uncommitted work)
Process
- Determine the feature (argument, else the active feature from
project-state.md; if several, ask). - Read approval state: build a map of approved phases, complete groups, implemented specs.
- Find the frontier — the first unapproved item in pipeline order: master phases (brainstorm → feature → specify → clarify → northstar), then groups in order, within a group its specs in order, then per-group audits A1–A5, then the F-pass.
- Check for partial work at the frontier: implementation files present but no approval, uncommitted git changes, logged failed approaches.
- Load context efficiently: distilled summaries for completed groups/specs, full content only for the frontier spec.
- Present the tried log for the frontier spec ("Do NOT retry: {approach} — failed because {reason}").
- Compose an absence-aware briefing sized by time since the last journal entry (<4h brief, 4–24h one sentence, 1–7 days 3–5 sentences, 7+ days full), state the tier and why, then present the next action.
Output
RESUME: <feature>
Feature phase: <status> (<phases> approved)
Groups: N/total complete
Active group: N (<title>) Active spec: <spec-id> (<title>)
Status: clean|partial — <detail>
Tried: N approaches logged (<summary>)
Next: <next pipeline action>Mode differences
Brownfield adds a scope reminder (files in scope) and regression notes. Lowfield adds a unit-progress summary and the next unit action.
Natural language triggers
- "resume"
- "where did I leave off"
- "what's next"
- "catch me up"Does it work?
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