run-without-you
Phase 4 of building a Claude Managed Agent — make it run without you. Turn a graded agent into a recurring scheduled deployment (POSIX-cron), an event-driven curl trigger, or confirmed on-demand use, then finalize the versioned roadmap. Use when the user says "run it every morning", "put it on a schedule", "nightly", "weekly", "automate this", "make it recurring", or when the orchestrator routes phase=run-without-you. deployment_builder.py builds the POST /v1/deployments payload (initial_events must include user.message; optionally nests a user.define_outcome so each firing self-grades); cron_validator.py validates the 5-field cron + IANA timezone and prints the wall-clock DST note; next_directions_writer.py writes NEXT-DIRECTIONS.md. No tool makes API calls — the deployment is created via BYOK curl. Distinct from grade-iterate (the in-session loop) and wrap-up (closeout).
- License 许可
- MIT
- 最近更新
- 2026-10-28
- Stars
- ★ 0
- Forks
- 0
01 前言 Front Matter
- name
- run-without-you
- tags
- [ "cma", "deployment", "cron", "schedule", "recurring", "run-without-you", "next-directions", "dst" ]
- author
- Alireza Rezvani
- license
- MIT
- version
- 2.11.2
- description
- Phase 4 of building a Claude Managed Agent — make it run without you. Turn a graded agent into a recurring scheduled deployment (POSIX-cron), an event-driven curl trigger, or confirmed on-demand use, then finalize the versioned roadmap. Use when the user says "run it every morning", "put it on a schedule", "nightly", "weekly", "automate this", "make it recurring", or when the orchestrator routes phase=run-without-you. deployment_builder.py builds the POST /v1/deployments payload (initial_events must include user.message; optionally nests a user.define_outcome so each firing self-grades); cron_validator.py validates the 5-field cron + IANA timezone and prints the wall-clock DST note; next_directions_writer.py writes NEXT-DIRECTIONS.md. No tool makes API calls — the deployment is created via BYOK curl. Distinct from grade-iterate (the in-session loop) and wrap-up (closeout).
- compatible_tools
- [ "claude-code", "codex-cli", "cursor", "antigravity", "opencode", "gemini-cli" ]
02 资源文件 5
- 参考文档README.md1.1 KB
- 参考文档references/detailed-guide.md19.5 KB
- 脚本scripts/cron_validator.py4.8 KB
- 脚本scripts/deployment_builder.py5.9 KB
- 脚本scripts/next_directions_writer.py3.9 KB
03 SKILL.md 正文
Phase 4 — Run Without You (the recurring loop)
A scheduled deployment fires a fresh session on a cron cadence — the agent runs without you. Each firing can carry its own outcome, nesting the bounded grade→iterate loop inside every recurring run.
See ../../references/loops-and-workflows.md.
Choose the trigger
| Answer | Shape | Tool |
|---|---|---|
| "every morning / weekly / nightly" | recurring cron deployment | deployment_builder.py + cron_validator.py |
| "when X happens" | event-driven curl (documented, not scheduled) | deployment_builder.py (message only) |
| "only when I ask" | on-demand (no deployment) | none — just re-send a user.message |
Workflow (recurring)
- Validate the schedule.
Invalid cron/timezone → exit 1. Read the DST note: wall-clock semantics mean spring-forward times are skipped and fall-back times fire twice — avoid 02:00–03:00 in DST zones if exactly-once matters.python3 scripts/cron_validator.py --cron "0 9 * * *" --timezone Europe/Berlin - Build the deployment payload.
python3 scripts/deployment_builder.py \ --sheet ./my-agent/build-sheet.json --agent-id agent_123 --env-id env_456 \ --nest-outcome --out ./my-agent/payloads/deployment.json--nest-outcomeincludes the rubric so each firing self-grades. The tool prints the BYOK curl to create it and to test it once with the manualrunendpoint before trusting the schedule. - Test before you trust. Fire one manual
run, read the verdict, only then leave the cron in place. Pin the agent version in the deployment once it passes. - Finalize the roadmap.
python3 scripts/next_directions_writer.py \ --sheet ./my-agent/build-sheet.json --loop-shape cron-loop --last-verdict satisfied --out-dir ./my-agent - Advance + hand to wrap-up.
goal_state.py set --phase wrap-up, then invoke thewrap-upskill.
Hard rules
- Test with a manual
runfirst. Never commit a schedule you haven't fired once. - Safety rails on by default.
always_askMCP,limitednetworking where you can,read_onlyuntrusted memory,max_iterationsper firing, workspace spend limit. There is no spend cap inside CMA. - DST is wall-clock. Surface the note; pick safe times.
- ≤1,000 deployments/org.
Forcing-question library (recommend + cite)
- "Cadence, event, or on-request?" Recommend: on-request v0 → cadence once graded. Cite: loops-and-workflows.md.
- "Should each firing self-grade?" Recommend: yes — nest the outcome. Cite: loops-and-workflows.md (nesting rule).
- "Which timezone, and is the time DST-safe?" Recommend: avoid 02:00–03:00 in DST zones. Cite: cma-primitives.md (wall-clock DST).
- "Did you fire one manual run first?" Recommend: always. Cite: this SKILL.
Tools
scripts/deployment_builder.py— POST /v1/deployments payload (+ test-run curl).scripts/cron_validator.py— 5-field cron + IANA tz + DST note.scripts/next_directions_writer.py— write/refresh NEXT-DIRECTIONS.md.
04 同仓库更多 Skills
syllabus
Generates a curated supplementary reading list from any course syllabus using Consensus academic search. Grill-me intake (syllabus input format + course audience + year range) plus a grouping forcing-options checkpoint before any search runs — so the reading list matches the course's level and recency need. Parses the syllabus to extract topics and learning outcomes, searches Consensus for recent peer-reviewed papers per topic, and produces a professionally formatted .docx with clickable Consensus links, plain-language summaries calibrated to audience level, and Bloom-higher-order discussion questions tied to course learning goals. Use when the user uploads a syllabus, course outline, or curriculum document and wants supplementary readings (e.g., 'create a reading list from this syllabus', 'find recent papers for my course') — even casual mentions with a syllabus attached should trigger this skill.
pulse
Multi-source recency research skill that takes the pulse of any topic across Reddit, Hacker News, the open web, and optionally X/Twitter within a configurable recent window (default 30 days). Forcing intake clarifies topic specificity, angle (trend/sentiment/problems/opportunities/comparison), time window, and platform scope before searching. Returns a synthesized briefing with citations, engagement metrics, and cross-platform pattern analysis. Use when the user requests multi-source recency intelligence on a topic (e.g., 'pulse on [topic]', 'what's happening with [topic]', 'what are people saying about [topic]', 'current conversation about [topic]', 'take the pulse of [topic]', 'trending: [topic]', 'find me info on [topic]'), and for competitor research, trend discovery, tool comparisons, and audience sentiment analysis.
patent
Patent prior-art and landscape intelligence skill — not generic patent help. Commits to one of five sub-use-cases via forcing intake (novelty search / freedom-to-operate / competitive landscape / acquisition diligence / litigation prior-art) before any search runs. Searches Google Patents, Espacenet, USPTO, and optionally Lens.org for citation-graph signals. Output is an editable Word document (.docx) with verdict, ranked closest art (claim-text extracted), CPC-class-aware landscape, family-resolved hits, geographic coverage, FTO flags where applicable, strategy recommendations, and full audit log. Use when the user asks for patent searching or analysis (e.g., 'prior art search for [invention]', 'freedom to operate analysis for [product]'). Produces search signal, not legal advice — always recommends consulting a patent attorney before filing or licensing decisions. Trademark, copyright, and trade-secret questions are out of scope.
notebooklm
Browser automation skill for controlling Google's NotebookLM. Use when the user wants anything done in NotebookLM (e.g., 'open NotebookLM', 'check my [name] notebook', 'ask my notebook about X', 'add [source] to NotebookLM', 'generate a Video Overview from my notebook', 'use NotebookLM Studio'). Handles reading and querying notebooks, adding sources (URLs, text, files, YouTube links, synthesized content), generating Studio outputs (Audio/Video Overviews, Mind Maps, Reports incl. Briefing Doc/Study Guide/FAQ, Flashcards, Quiz, slide decks, infographics — discover the exact set from the live Studio panel; the UI evolves fast), and creating new notebooks. Requires browser automation environment — fails gracefully when unavailable.
litreview
Academic literature orientation skill that searches papers via free keyless APIs (PubMed E-utilities + OpenAlex) by default — with the Consensus MCP as an optional enhancement lane when connected — builds a strategic search plan using PICO (default) or SPIDER / Decomposition / hybrid as fallbacks, and synthesizes findings into a formatted Word (.docx) research guide. Grill-me intake (research question specificity + framework hint + tentative depth) before the recon search; a second forcing checkpoint after Phase 2 confirms framework + sub-areas + depth before searches consume budget. Configurable depth (5/10/20 queries) controls coverage vs. speed. Output is a 'launching pad' — an orientation guide that lets a researcher dive in confidently, not a finished review. Use when the user starts literature-oriented research (e.g., 'litreview on [topic]', 'literature review on [topic]', 'I'm starting a literature review on X', 'I'm writing a paper on X', 'help me research X', 'I'm doing research on X', 'can you help me research X'). Do NOT use for single one-off paper searches wanting a quick list — that's a plain PubMed/OpenAlex (or Consensus) query.
grants
NIH grant research skill for clinical researchers. Grill-me intake (research idea + career stage + preliminary data + environment + submission posture + known institute targets) locks down the funding strategy before any search runs. Runs a 5-facet Consensus positioning analysis (with draft Significance/Innovation language), maps the research to the right NIH institutes and study sections via RePORTER, finds NOSIs and funded overlap, and produces an editable Word document (.docx) with budget/scope-aware mechanism recommendations, submission timelines, and a mandatory program officer recommendation. Use when the user asks about research funding or makes any grant-related request (e.g., 'grants for [topic]', 'find grants for my research idea', 'what grants match my research', 'help me find NIH funding', 'grant opportunities for my research'). NIH-only scope — non-NIH funders (PCORI, DOD CDMRP, VA, foundations) are out of scope and flagged at intake.