Analyze a session transcript with AI and generate structured insights (prompt quality, strategy critique, key decisions, takeaways) for the rewind viewer.
EnglishSystematic debugging loop — reproduce, analyze root cause, fix, then challenge with a fresh verification pass to distinguish fundamental fixes from workarounds. Use when debugging issues or when unexpected behavior needs a methodical approach.
EnglishWrite or update documentation with code-verified accuracy. Use when creating, reviewing, or updating docs, READMEs, guides, or API references.
EnglishCreate a real-world whip case-study or lessons-learned markdown file under .whip/lesson-learn/ .md. Use when the user wants to capture an actual whip run, prompts, decisions, IRC coordination, outcomes, or lessons learned. Prefer the explicitly requested language; otherwise use the user's conversation language.
EnglishIterative review-fix loop — dispatch a fresh codex reviewer each round, apply fixes, repeat until LGTM. Use when you want rigorous code quality validation before merge.
EnglishTurn a multi-agent request into a concrete 6-phase whip plan, get user approval, save it under ~/.whip/plans, then hand off to $whip-start for execution.
EnglishTriage unresolved PR review threads via webform and dispatch fixes through whip-start. Use after receiving review feedback on your own PR.
EnglishRun multi-agent simulations to measure output consistency. Use when you want to A/B test, validate behavioral equivalence, or stress-test non-deterministic behavior at scale.
EnglishSpawn whip agent sessions to handle tasks. Dispatch a single agent or assemble a small team with explicit backend, scope, and ownership.
EnglishIncludes Rewind Analyze, Whip Debug, Whip Lesson Learn, and other workflows.
Supported by the Atlas install prompt. Skill-specific requirements vary.
Pack stats
What’s included
Rewind Analyze
Analyze a session transcript with AI and generate structured insights (prompt quality, strategy critique, key decisions, takeaways) for the rewind viewer.
Whip Debug
Systematic debugging loop — reproduce, analyze root cause, fix, then challenge with a fresh verification pass to distinguish fundamental fixes from workarounds. Use when debugging issues or when unexpected behavior needs a methodical approach.
Whip Docs
Write or update documentation with code-verified accuracy. Use when creating, reviewing, or updating docs, READMEs, guides, or API references.
Whip Lesson Learn
Create a real-world whip case-study or lessons-learned markdown file under .whip/lesson-learn/ .md. Use when the user wants to capture an actual whip run, prompts, decisions, IRC coordination, outcomes, or lessons learned. Prefer the explicitly requested language; otherwise use the user's conversation language.
Whip Lgtm
Iterative review-fix loop — dispatch a fresh codex reviewer each round, apply fixes, repeat until LGTM. Use when you want rigorous code quality validation before merge.
Whip Plan
Turn a multi-agent request into a concrete 6-phase whip plan, get user approval, save it under ~/.whip/plans, then hand off to $whip-start for execution.
Whip PR Followup
Triage unresolved PR review threads via webform and dispatch fixes through whip-start. Use after receiving review feedback on your own PR.
Whip Simulate
Run multi-agent simulations to measure output consistency. Use when you want to A/B test, validate behavioral equivalence, or stress-test non-deterministic behavior at scale.
Whip Start
Spawn whip agent sessions to handle tasks. Dispatch a single agent or assemble a small team with explicit backend, scope, and ownership.
Quick start
- Choose your skills. Select individual skills above, or choose the entire pack.
- Copy the install prompt. Use Copy install prompt above the list.
- Send it to your agent. Paste into your coding agent’s chat. Your agent reviews the source and guides the setup.
Try it with your agent
After installation, start with a request like:
Use the Rewind Analyze skill to help with my task.
Ask me for the context you need before getting started.Requirements & license
- A coding agent that can access your project files and install skills.
- Your agent checks each skill’s instructions, dependencies, and permissions during setup.
- Reported license for the skills shown: MIT. The author’s terms apply.