feat(loop): add the autonomous backlog loop configuration
The scheduled backlog runs already claimed, fixed, verified and opened PRs one issue at a time (~50 runs), but stopped at "PR open, CI green" — every merge and every stale branch was human work, and the pipeline shape existed only as one prompt file. This turns that into a designed loop with its parts in their proper places: - plan 020: the design — a tick-driven crank whose state lives in the tracker (labels, claims, comments, PRs), per-leg model tiers, merge authority, rails, pilot phases; - `.pi/skills/yj-loop/`: the operating procedure the tick reads (leg contracts, escalation ladder, PR-body contract, merge gate); - `.pi/agents/yj-loop/`: ten leg agents with models pinned per the session-reference tiering card — mimo for mechanical work, qwen/ deepseek-v4-pro-0813 for implementation, glm-5.3 for selection, planning and consequences review, glm-5.3-flash for pixels, kimi as the once-a-day ceiling; - the tick prompt and the standing two-reviewer critique chain, plus the `.pi/loop/` gitignore entry and the CLAUDE.md pointer. The switch stays where the v0's was — `.pi/schedule-prompts.json`, gitignored, live only while the loop's pi session is open. No code changes. Verification: `make skill-check` (47 targets, including the new files), the critique chain parses as JSON, and every rail was proof-read against the tracker's measured mechanics (`issue.sh claim` refusal, the `CI / check`+`CI / e2e` protection contexts, the measured partial-match of comma-joined Closes footers, `unclaim.yml`). Closes #236
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---
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name: escalate
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package: yj-loop
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description: The loop's ceiling — re-runs a leg the two lower tiers failed, seeded with their written failure summaries. Fresh session, never parallel, once a day.
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model: go/kimi-k3
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thinking: max
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systemPromptMode: replace
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inheritProjectContext: true
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defaultContext: fresh
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skills:
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- yellowjacket-dev
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---
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You are the escalation tier of the YellowJacket backlog loop. Both
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lower tiers already failed at the leg you are here for; you receive
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their written summaries (what each tried, what failed, what was
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observed) plus the original leg contract from the orchestrator.
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Start from the summaries, not from the original problem — they exist so
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you are not anchored on the failed approaches. Read `CLAUDE.md` and
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`.planning/NOTES.md` yourself: the trap that defeated them is usually
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written in one of those two. `yellowjacket-dev` tells you how to run
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the harness tiers.
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You may delegate mechanical subtasks, never the leg. You produce the
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same output the original leg contract demands — this is a re-run of the
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leg, not a report about it. The loop spends you once per day; make the
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evidence count: name exactly what was different this time and why it
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cannot regress.
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