ad-copy
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Run a learning retrospective on the Kai harness. Mines gate-failure logs and 30-day performance results into lessons, triages candidate lessons (promote/keep/retire), and graduates repeated lessons into enforced gate checks with golden corpus cases. Use when "retro", "what have we learned", "triage lessons", "promote lessons", "why does this keep failing", "harness retrospective", or monthly / after any heavy content sprint.
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查看安装方法安装前可以查看交给 AI 代理的指令内容。
Kai root note:
knowledge/,harness/, andscripts/paths in this skill live in the Kai install, not the user's project. Resolve them against the first ancestor directory of this SKILL.md that contains aknowledge/folder (the Kai plugin root,~/.claude/kai, or the kai-cmo-harness repo).MARKETING.md,memory/, and any output files live in the current project. If a referencedscripts/command is not available in this install, say so, skip it, and continue with the file-based guidance — never fabricate its output.
The harness ends this cycle enforcing something it was only remembering at the start. Gate-failure logs and 30-day grades become diagnosed lessons; lessons that keep firing become lint rules, contract checks, or checklist lines with golden corpus cases behind them, and the memory index reflects what changed. Run it monthly, after any sprint that produced 5+ gated pieces, whenever the same gate failure appears twice in one session, or when a 30-day check grades new underperformers. Read memory/MEMORY.md first — the graduation ladder is the shape of the whole cycle.
Work type harness-change — floor E3/C3/O1 (harness/eco-floors.yaml).
golden_check.py passes on the changed tree and a named human approved the diff. Memory and gate changes commit together so the lesson and its enforcement read side by side.evals/golden/manifest.json (one sample proving the new check fires, plus confirmation existing pass samples still pass), reviewed by a non-author. A gate change without a golden case is not a promotion; it is a regression waiting to happen.lesson_recurrence_stopped, read from data/learning/gate_runs.jsonl at 30 days: the promoted lesson's failure signature stops appearing.The summary names: signatures mined with counts, underperformers diagnosed with their one-line causes, what was promoted and to which target with its golden case id, what was retired and why, edge cases opened or closed, and lessons sitting at two occurrences — one recurrence from mandatory promotion.
memory/edge-cases.md EC-15). Diagnoses are written against the piece and its content_log.json entry and land in memory/what-doesnt-work.md under "Measured losers" with the piece id.(retired) with the reason; git keeps history.golden_check.py run. A promotion that changes publishing behavior — any new hard block — is flagged for human approval, never applied silently.memory/MEMORY.md stays under 200 lines; refresh its "Current standing lessons" section, and cross-check memory/edge-cases.md — mark entries whose Enforcement: none was just fixed, add ones found this cycle. An empty gate log is a finding, not a failure: note it and continue, since the gates only log when they run.| Need | Load |
|---|---|
| Graduation ladder, standing lessons, lessons awaiting triage | memory/MEMORY.md + memory/lessons.md |
| Gotchas and their enforcement status; measured losers | memory/edge-cases.md + memory/what-doesnt-work.md |
| Golden corpus cases | evals/golden/manifest.json |
| Promotion targets, strongest first | scripts/quality_gates/seo_lint.py (overclaim regex, banned-word tier) → harness/skill-contracts/ (deterministic_checks) → knowledge/checklists/ → CLAUDE.md, for judgment calls code cannot check |
python scripts/self_improvement/lesson_capture.py mine # recurring failure signatures from data/learning/gate_runs.jsonl; --write appends candidates
python scripts/self_improvement/lesson_capture.py losers # 30-day underperformers with no diagnosis yet; grades are winner/average/underperformer (older docs said "loser")
python scripts/quality_gates/golden_check.py # required after any gate-script change
| Verdict | Criteria | Action |
|---|---|---|
| Promote | Fired 3+ times, or checkable by a regex or threshold | Graduate it, mark (promoted) |
| Keep | True, useful, not yet recurring | Upgrade candidate → active if verified |
| Merge | Near-duplicate of another lesson | Combine into the more general one |
| Retire | No longer true (platform changed, gate fixed) | Mark (retired) with the reason — never delete |
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Write platform-compliant ad copy for Meta, Google, TikTok, LinkedIn, Pinterest, Snapchat, Amazon, or X. Loads TOS rules automatically. Shows char counts and format preview.
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Render video ads using Remotion. Scaffolds a project from brand tokens + creative brief, generates scene compositions for 4 archetypes, renders to MP4 in multiple formats.
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Research competitor ads using Meta Ad Library, Google Ads Transparency Center, and TikTok Creative Center. Analyze creative patterns, hooks, offers, and landing pages.
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Surface the right marketing checklist for any task. Covers content, SEO, ads, email, press, landing pages, launches, and technical audits. 17+ checklists indexed by task type.
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Generate a strategic content brief from format + site + keyword. Auto-resolves persona, pulls GSC data, generates hooks, angles, and competitor weakness via LLM.
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Run the full quality gate on any content file. Score against 28 rules, apply policy, show detailed scorecard with fix suggestions. Works on any markdown file.
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