AGENT SKILL

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

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)

  1. Validate the schedule.
    python3 scripts/cron_validator.py --cron "0 9 * * *" --timezone Europe/Berlin
    
    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.
  2. 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-outcome includes the rubric so each firing self-grades. The tool prints the BYOK curl to create it and to test it once with the manual run endpoint before trusting the schedule.
  3. 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.
  4. 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
    
  5. Advance + hand to wrap-up. goal_state.py set --phase wrap-up, then invoke the wrap-up skill.

Hard rules

  • Test with a manual run first. Never commit a schedule you haven't fired once.
  • Safety rails on by default. always_ask MCP, limited networking where you can, read_only untrusted memory, max_iterations per 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)

  1. "Cadence, event, or on-request?" Recommend: on-request v0 → cadence once graded. Cite: loops-and-workflows.md.
  2. "Should each firing self-grade?" Recommend: yes — nest the outcome. Cite: loops-and-workflows.md (nesting rule).
  3. "Which timezone, and is the time DST-safe?" Recommend: avoid 02:00–03:00 in DST zones. Cite: cma-primitives.md (wall-clock DST).
  4. "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

mne20114-hash
mne20114-hash/gest35bi

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.

行政与办公人员文档处理Skill与智能体开发
★ 0
mne20114-hash
mne20114-hash/gest35bi

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.

资料检索与研究Skill与智能体开发
★ 0
mne20114-hash
mne20114-hash/gest35bi

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.

律师与法务文档处理Skill与智能体开发
★ 0
mne20114-hash
mne20114-hash/gest35bi

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.

图像与多媒体Skill与智能体开发
★ 0
mne20114-hash
mne20114-hash/gest35bi

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.

行政与办公人员文档处理资料检索与研究
★ 0
mne20114-hash
mne20114-hash/gest35bi

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.

行政与办公人员文档处理资料检索与研究
★ 0