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Create a new LLP document with the next available number, the NNNN-slug.type.md filename convention, and a scaffolded metadata header — or extend an existing LLP when one already covers the topic.
Mit Codex oder Claude installieren Kopieren Sie diesen Prompt, fügen Sie ihn in Codex, Claude oder einen anderen Assistant ein und lassen Sie die Skill-Seite prüfen und installieren.
Basierend auf der SOC-Berufsklassifikation
Author-invoked dual-family refine loop for one or more Draft/Review LLPs — each round, two fresh mutually-blind reviews from different model families, orchestrator revision, verdict-lined artifacts — until both families mark the same revision READY, a delta round finds no MATERIAL concern in pre-existing text across families, or a bounded stop rule escalates to the author. Use when the user invokes /llp-super-refine or asks to refine an LLP until independent models agree it is ready.
Keep an LLP corpus in sync with its code. Detects code/doc drift, validates @ref annotations interactively, checks provenance tags, and proposes reconciliations, ref repairs, and status changes. Modes — pre-pr, audit, reconcile, retire-proposal. Proposes; never applies.
Before editing a subsystem, file, or starting a task, assemble the governing LLP context — read the root LLP, follow the @ref annotations on the code in scope, and find the LLPs covering the relevant systems. Produces a compact context pack of the constraints a change must respect. Read-only.
Run the LLP 0005 review loop for an LLP document — orchestrate reviews from other model families, write one provenance-tracked artifact per review actually received under llp/reviews/, and never fabricate a review or accept on the author's behalf. Review intensity scales with stakes; the author decides when it's enough.
Take one or more tasks (Linear tickets, ticket files, accepted LLPs, free text) end to end — plan lanes, implement in run-namespaced worktrees, integrate on a run branch, verify and review the exact integrated commit, deliver per repo policy (direct push by default), and clean up without destroying recoverable work. Use when the user invokes /llp-ship or hands over tasks to be implemented and shipped.
Bring LLP to a repository and keep its installed skills current — the single entry point for "set up LLP here" and "update the LLP skills". Scaffold mode (fresh structure), retrofit mode (survey the codebase, draft a provenance-tagged root LLP, propose an adoption plan), install step (copy skills from a tagged release with a receipt), and update mode (verified, diff-approved skill updates).
| name | llp-create |
| description | Create a new LLP document with the next available number, the NNNN-slug.type.md filename convention, and a scaffolded metadata header — or extend an existing LLP when one already covers the topic. |
| source | ccheever/llp@v0.3.0 |
Author one LLP in a corpus that already exists. Handles numbering, filename, and the metadata scaffold so the author can focus on content.
Invoke as /llp-create <title>, or bare and the skill asks.
"Capture this decision" / "write an LLP for this" — during or after a design conversation.
Grep the **Systems:** and **Related:** headers across llp/ and propose extending an existing LLP over creating a new one when the topic is already covered.max(existing) + 1, zero-padded — scanning the whole llp/ tree including subdirectories and tombstones/. Numbers are never reused and never invented.NNNN-slug.type.md with the lowercased type matching the header's **Type:**, and start every new LLP as Draft.Recipe (advisory) — next number:
ls llp | grep -oE '^[0-9]{4}' | sort -n | tail -1(+1); for nested trees globllp/**/[0-9]*.mdand excludereviews/. Slug: lowercase, non-alphanumerics →-, collapse repeats, keep it under ~6 words. Type cues: proposal →rfc; requirements →spec; settled choice →decision; steps →plan; teaching →explainer; always/never →principles; how-to →guide; bug →issue; findings →research. Scaffold sections: Summary · Motivation · Design · Open questions (Decisions use Context/Options/Decision/Consequences; Research uses Findings/Confidence).
A new Draft LLP with a complete metadata header (Type, Status, Systems, Author, Date; Related: where relevant) — plus an offer to draft the body from the current conversation. Confirm the assigned number and path back to the user.
llp-adopt.llp-review, scaled to stakes (LLP 0005).