handoff
Compact the current conversation into a handoff document for another agent to pick up. References existing artifacts (PRDs, plans, ADRs, issues, commits, diffs) by path or URL instead of duplicating them. Use when user wants to hand off the conversation to a fresh agent or starts a new session that picks up prior work.
- License 许可
- MIT
- 最近更新
- 2026-10-28
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- ★ 0
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01 前言 Front Matter
- name
- handoff
- license
- MIT
- metadata
- { "voice": "Matt Pocock — no-duplication, reference-existing-artifacts, tailored to next-session focus", "version": "1.0.0", "derived_from": "https://github.com/mattpocock/skills/tree/main/skills/productivity/handoff", "original_author": "Matt Pocock (@mattpocock)", "original_license": "MIT" }
- description
- Compact the current conversation into a handoff document for another agent to pick up. References existing artifacts (PRDs, plans, ADRs, issues, commits, diffs) by path or URL instead of duplicating them. Use when user wants to hand off the conversation to a fresh agent or starts a new session that picks up prior work.
- argument-hint
- What will the next session be used for?
02 资源文件 20
- 参考文档agents/openai.yml238 B
- 资产文件assets/shadcn-small.png1.0 KB
- 资产文件assets/shadcn.png3.8 KB
- 参考文档cli.md14.6 KB
- 参考文档customization.md5.8 KB
- 参考文档evals/evals.json3.0 KB
- 许可证LICENSE.md1.0 KB
- 参考文档mcp.md2.5 KB
- 参考文档references/companion_tooling.md3.0 KB
- 参考文档references/deduplication_discipline.md6.3 KB
- 参考文档references/handoff_structure.md5.9 KB
- 参考文档references/next_session_skill_matching.md6.1 KB
- 参考文档rules/base-vs-radix.md6.8 KB
- 参考文档rules/composition.md4.8 KB
- 参考文档rules/forms.md4.8 KB
- 参考文档rules/icons.md1.9 KB
- 参考文档rules/styling.md3.7 KB
- 脚本scripts/artifact_deduplicator.py8.5 KB
- 脚本scripts/handoff_template_generator.py7.9 KB
- 脚本scripts/skill_recommender.py8.1 KB
03 SKILL.md 正文
Handoff
Derived from Matt Pocock's handoff (MIT). Matt's no-duplication discipline preserved verbatim. Additions: tools + references + cs-* wrapper (see references/companion_tooling.md).
Write a handoff document summarising the current conversation so a fresh agent can continue the work. Save it to a path produced by mktemp -t handoff-XXXXXX.md (read the file before you write to it).
Suggest the skills to be used, if any, by the next session.
Do not duplicate content already captured in other artifacts (PRDs, plans, ADRs, issues, commits, diffs). Reference them by path or URL instead.
If the user passed arguments, treat them as a description of what the next session will focus on and tailor the doc accordingly.
Sections
- Goal of next session (from user argument or inferred)
- State of play (what's done, what's blocking)
- Open decisions (what the next agent must decide)
- Skills to use (concrete list)
- Artifacts (paths/URLs to PRDs, plans, ADRs, issues, branches, PRs — do not duplicate)
Tooling
See references/companion_tooling.md. Tools: template + dedup + recommender. Agent: cs-handoff-author. Command: /cs:handoff.
Version: 1.0.0 Derived: Matt Pocock (MIT) + this repo's wrapper
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.