re0-upgrade
Bring your installed paperthin skills up to the full current catalog in one step: retire…
Turn a finished, failed, or disappointing work cycle into portable lessons, anti-patterns, quality gates, and next-cycle vocabulary. Use after a build, QA pass, demo, user complaint, or abandoned attempt when the useful output is what the next pass must learn rather than the
$ npx -y skills add LilMGenius/paperthin --skill re0-memo --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/re0-memoContext preview
The summary Claude sees to decide when to auto-load this skill.
Turn a finished, failed, or disappointing work cycle into portable lessons, anti-patterns, quality gates, and next-cycle vocabulary. Use after a build, QA pass, demo, user complaint, or abandoned attempt when the useful output is what the next pass must learn rather than the
name: re0-memo description: "Turn a finished, failed, or disappointing work cycle into portable lessons, anti-patterns, quality gates, and next-cycle vocabulary. Use after a build, QA pass, demo, user complaint, or abandoned attempt when the useful output is what the next pass must learn rather than the code itself."
Turn a completed cycle into lessons the next cycle can actually use.
`re0-memo` extracts durable learning from a work cycle without defending the artifact that produced it. A cycle can run, pass tests, and still be the wrong thing. The output is not a changelog or therapy note: it is a local, evidence-backed record of what worked, what misled the build, and what gate the next pass must clear.
Use `re0-memo` when the artifact is done, failed, disappointing, or ambiguous enough that the next agent needs the cycle's lessons more than its momentum.
1. Read the original objective, final artifact, QA evidence, user complaints, and any local planning notes. 2. Separate working assets from misleading progress: contracts, schemas, tests, services, vocabulary, and examples that earned reuse vs. UI, panels, scaffolds, or abstractions that only looked productive. 3. Generalize before recording: when feedback arrives as many specific complaints, cluster them upward into the shared pattern before writing anything down — many specifics against many items usually share one root gap. Record the root and its pattern family as the lesson; keep the specifics under it as evidence, not as lessons themselves. 4. Name each failure as an anti-pattern, not a mood. 5. Convert repeated or high-impact failures into quality gates for the next pass. 6. Convert vague user direction into architecture vocabulary a fresh agent can use. 7. Write or refresh local docs for the cycle: a re0-memo for lessons and a plan for next-cycle contracts, gates, and vocabulary. 8. Verify that a from-scratch agent could avoid the same failure from those docs alone.
Before finishing:
1. Every lesson traces to observed cycle evidence. 2. Every anti-pattern names a concrete failure mode and the gate that catches it. 3. No lesson is a single reported case in disguise: each covers a class, with the specifics that raised it sitting under it as evidence. 4. A fresh agent can tell what to preserve, what to discard, and what to test first without reading the whole old session.
Turning old engineering wisdom into reflexes your agent reaches for on its own. On any agent | Claude Code, Codex, OpenCode, Antigravity, Copilot, Cursor, Grok-Build, Pi, Hermes, OpenClaw, etc.
Repo: LilMGenius/paperthin
Bring your installed paperthin skills up to the full current catalog in one step: retire…
Audit and consolidate a fact that's scattered across places into one canonical source, after…
Rebuild the human's lost context on a project from live state, in plain language: what needs…
Read the live cycle state and return the single highest-leverage next best action, not a…
Run repeated build -> QA -> re0-memo -> re0-work cycles while preserving learning and letting…
Open a paperthin iteration's casebook before re0-loop's first turn — seeded with real content…