Command
design-chain
Run one design round through the design chain: vision, owners, brief with verbatim anchors, three directions, craft manifest,…
@assafkipInstall CommandAgent Memory
Command
/prd-split
Split the approved PRD into one issue spec per manifest entry
Install
> /plugin marketplace add assafkip/kipi-systemHow it fires
How this command gets triggered: by you, by Claude, or both.
- Fires itselfClaude auto-loads it when your prompt matches the work.
- You can call itInvoke it directly when you want it.
- Slash command
/prd-split
Context preview
What this command does when you run it.
Split the approved PRD into one issue spec per manifest entry
Command definition
prd-split.mddescription: Split the approved PRD into one issue spec per manifest entry allowed-tools: Bash
Materialize the PRD's `## Issues` fenced JSON manifest into issue specs under `issues_dir`. The split script enforces:
- PRD status is `approved`.
- Every entry has non-empty `allowed_files` and non-empty `required_checks`.
(An empty `required_checks` silently bypasses the runner's verification gate — the split refuses to create such specs.)
- No existing issue file is clobbered. Re-runs are idempotent only when
byte-identical.
Two-step flow — dry-run first so the author can see planned writes before any file lands on disk:
1. Dry-run:
python3 "${CLAUDE_PLUGIN_ROOT}/scripts/prd_split.py" --dry-runRead the `would_create` paths back to the author. Confirm before committing. If they do not confirm, stop. Do NOT run step 2 without explicit agreement.
2. Commit:
python3 "${CLAUDE_PLUGIN_ROOT}/scripts/prd_split.py"On collision, the script names the divergent files. Do not delete or overwrite them. Ask the author to rename either the manifest entry or the existing file.
After a successful split, tell the author to archive or clear the PRD before starting an issue (`prd_runner.py archive` or `prd_runner.py clear`). The concurrency guard blocks loading an issue while a PRD context is active.
Ships withkipi-system
Give your AI the right knowledge, at the moment it needs it. Kipi turns the scattered knowledge around your work into context that follows you across AI sessions: decisions, conversations, projects, people, commitments, lessons, documents, history.
Get the whole plugin
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