daily-run
Skill3 starsChanged 3 months agoMITView on GitHub
Execute today's content run for an agent built with content-agent-kit. Use when the user says "run today", "tạo nội dung hôm nay", "do the daily run", or a scheduler fires the daily prompt. Reads the project PLAYBOOK.md, does today's phase, passes every item through the review gate, publishes, schedules, and reports.
In this repository16 other files it gives its agents.
- AGENTS.mdAGENTS.md
- ads-reportSkill
- audit-and-fixSkill
- bootstrap-content-agentSkill
- crawl-and-queueSkill
- create-videoSkill
- daily-topic-videoSkill
- design-campaignSkill
- geo-optimizeSkill
- motion-craftSkill
- new-templateSkill
- repurposeSkill
- research-and-captureSkill
- review-gateSkill
- topic-radarSkill
- video-and-postSkill
The file
We split this skill into the rules it gives an agent
1 rule. About 0 are common, 0 are distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈0
Distinctive · estimate
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 16
Check history.json — skip duplicates.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Daily run
- Open
PLAYBOOK.mdin the project (the source of truth). Re-read it fully — do not rely on memory. - Determine today's phase = (day-of-year mod N) per §1, and do exactly that phase.
- (If crawling) pull fresh ideas first:
node scripts/queue-client.mjs pull→ work fromqueue_raw.json. - Fan out one subagent per item (§2). Each writer MUST read
WRITING_CRAFT.mdfirst (§1 universal principles + its register §2/§3 + the banned-cliché list §4) and self-check against §6 before submitting. Each produces content + images + metadata per the §4 schema. Checkhistory.json— skip duplicates. 4b. Video items (if the PLAYBOOK calls for any) — invokecreate-video(writer readsVIDEO_CRAFT.md+video-templates/CATALOG.md, writesscript.json, validates with--strict, renders). Render now, not at the posting slot: a render takes 3–5 minutes, so doing it here keeps the scheduled post instant. Keep the resultingvideoPath. - Review gate (mandatory, §2b) — invoke the
review-gateskill / an independent review subagent on every item. Pass → continue. Fail → fix (2–3 rounds) → drop + log. Reject any forbidden output on sight. - Publish: content →
node scripts/publish.mjs <file>.json; chapters →node scripts/append.mjs <file>.json. Treat409as already-done. Record ids inledger.json/ titles inhistory.json. - Schedule social (if any):
node scripts/scheduler/build-queue.mjs items.json→ register/run perdocs/06. Never post restricted types (see PLAYBOOK). Video items go in astype:"video"carryingvideoPath+post/comment/title/hashtags/platforms— seetemplates/state/queue.example.json. - Access tiers, author, language per §3b/§3c/§0b. Never brand as "(AI)".
- Clean up per-run scratch files (§7).
- Report →
brain/<id>/report.md(§7b): made / reviewed / published / dropped.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
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- It worked
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Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

