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Promote select cross-repo transcendent learnings into the context-library engineering journal as proposed, gated, idempotent entries.
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
Route proposed Team Mimir profile behavior changes into target-owned Hermes dialogue after producer-owned custody classification.
Compile and review an approved Workflow Contract for Codex V2 graph, profile, write, check, reviewer, fallback, and external-action consistency without launching work.
Explicitly run an operator-approved Infiquetra Workflow Contract as a root-orchestrated Codex V2 DAG with exact profiles, runtime receipts, bounded writes, one independent review, one remediation, and one targeted recheck.
Deep-dive one chosen Infiquetra idea into a right-sized requirements document before planning.
Run a structured Infiquetra code-quality review at the work-to-PR boundary. Reads the merge-base diff, runs a built-vs-planned audit plus judgment-selected review lenses, validates findings, writes a durable review artifact, appends to the work-thread saga, and routes — without mutating code. Triggers on "review this PR", "code review", "check my diff", "pre-PR review", or a /work hand-in before shipping.
Review Infiquetra plans, requirements, and SDLC documents for implementation readiness.
| name | promote |
| description | Promote select cross-repo transcendent learnings into the context-library engineering journal as proposed, gated, idempotent entries. |
saga:promote is a journal-promotion workflow, not an outcome orchestration
subcommand. It scans repo-local engineering journals, identifies the few lessons
that deserve org-wide status, and prepares context-library journal changes
behind an explicit approval gate.
Use plugins/saga/scripts/promote_scan.py as the deterministic backbone:
python3 plugins/saga/scripts/promote_scan.py scan --workspace-root ~/workspace/infiquetra --json
python3 plugins/saga/scripts/promote_scan.py key --repo <repo-name> --rule '<rule text>'
infiquetra-context-library from the candidate pool.promote-keys comments so promotion cannot
feed itself.**Transcendent.** markers are strong nominees, and exact
recurrence clusters are deterministic evidence, but final clustering and
distillation remain operator judgment.infiquetra-context-library/docs/engineering-journal/LEARNINGS.md.The single source of truth for markers, key generation, promoted entry shape, ledger comments, and self-feed behavior is:
plugins/saga/skills/promote/references/promotion-contract.md