Deep strategic research engine — decomposes questions into parallel research threads, spawns multiple agents, and synthesizes into actionable strategic analysis
中文简介正在准备中。当前显示原文说明。
Release communication pipeline for your product: turn a deployment runsheet and a GitHub milestone into a customer-facing release note with real screenshots and videos, docs updates (including retrofits of articles the release makes stale), a Slack announcement draft, and a lightweight marketing package. Use when you say "cover today's release", "write the release note", or "/release-comms".
中文简介正在准备中。当前显示原文说明。
实测评分 未实测
查看安装方法安装前可以查看交给 AI 代理的指令内容。
Lane: full. It mutates external state (Slack posts, docs PR, wiki pages), so every post and PR is drafted first and gated on the user's explicit approval. See the closed-loop skill.
Fill these in once (kit.toml, .env or arguments). Placeholders below are examples.
| Setting | Meaning | Example |
|---|---|---|
PRODUCT_REPO | Repo that holds the release milestone | your-org/your-product |
MILESTONE_PATTERN | Milestone naming | Release YYYY-MM-DD |
TEAM_LABEL | Label that filters the milestone to your team | team:platform |
RUNSHEET_SOURCE | Where the deployment runsheet lives | a wiki page, a doc, or a Slack thread |
RELEASE_DIR | Working folder per release | comms/release-notes/<date>/ |
DOCS_REPO | Local path of the docs repo | ../your-docs |
RELEASE_NOTES_FILE | Running release-notes page in the docs repo | docs/release-notes.md |
ANNOUNCE_CHANNEL | Slack channel for the internal announcement | #product-releases |
MARKETING_CHANNEL | Slack channel for the marketing package | #marketing |
FLAG_SYSTEM | Feature-flag tool named in the runsheet | any |
TEAM_LABEL is the release manifest. Issues may still be open, so closed does not equal shipped.curl -sL -H "Authorization: Bearer $(gh auth token)" -o <file> <url>
Check the Content-Type with curl -sI for the right extension. GitHub videos are usually QuickTime .mov. Treat a comment-level "Verified PASSED" as the ship signal, because issues often stay open until a later close step.Use one worker per headline cluster plus one sweep worker over the remaining milestone issues. Each worker extracts user-visible changes with verbatim quotes and links, classifies each as user-facing feature, user-facing fix or internal, downloads media into assets/ with descriptive kebab-case names, writes to RELEASE_DIR/staging/<cluster>.md, and returns only a status line. Never paste one worker's output into another's prompt.
Write RELEASE_DIR/release-note-<date>.md: frontmatter (version, date, milestones, labels), a one-paragraph narrative summary, Highlights (bold, benefit-first bullets with issue links), per-feature sections (What's new, Why this matters, What you can do now, Shipped in this capability), Enhancements, Fixes, and an appendix table of shipped issues. See the generate-release-notes skill for the base format.
Voice rules:
Use a git worktree so work in the main checkout is never disturbed:
git worktree add ../docs-release-<date> -b release-comms/<date> origin/main (run inside DOCS_REPO). Check what exists on origin/main before planning edits, because drafts in the checkout may not be merged. Two motions:
feature-doc skill for any new article or real screenshot refresh.RELEASE_NOTES_FILE (heading per date, "What's new" and "Why this matters" for features, enhancements and fixes in collapsible blocks). If unmerged drafts cover the same surface, do not edit them. Flag the needed change to the user for that branch.
The docs PR is a ship gate: the user approves before it opens. To publish the note to a wiki, see the publish-to-confluence skill.ANNOUNCE_CHANNEL)Format: an announcement line (:mega: *Product Release Announcement* | <release note link> | Available now), a channel-wide greeting, then emoji-prefixed bold-name bullets with one benefit sentence each, a known-issue heads-up, and a link to the full release note. Keep it terse. Draft only: the user posts or approves posting.
MARKETING_CHANNEL)Use a lightweight changelog-thread format, not positioning essays:
1/ ...), one line per shipped feature, and one short closing line. No media required.assets/ (name the file and note any trim or convert work). Each post reuses cleanly as an X or LinkedIn thread, a Slack lead with thread replies, or a newsletter section.release-video, social-media-kit and youtube-video-kit skills cover producing media.Once demo videos are published somewhere the team can open, write each video link into a "Demo" field on every shipped issue it covers (for example a GitHub Project text field, set through gh api graphql with updateProjectV2ItemFieldValue). One link per issue. Check an existing value before overwriting it. Verify by re-reading the field.
Keep a session-review.md in RELEASE_DIR (the review-cockpit pattern): progress, one card per deliverable, the user's approvals logged. Delete staging files after consolidation.
还没有评价。欢迎分享你的使用感受。
无需登录即可发表。欢迎分享使用感受、提问,或说明在哪些环境下无法运行。
还没有评论。来写第一条吧。
Deep strategic research engine — decomposes questions into parallel research threads, spawns multiple agents, and synthesizes into actionable strategic analysis
中文简介正在准备中。当前显示原文说明。
Write and publish a post to your own static blog end to end: content checklist (embedded links, optional TL;DR), per-post ASCII art, an agent-readable markdown twin, deploy, and social distribution. Use when you say "write a blog post", "publish this to my blog", or "push this post to socials".
中文简介正在准备中。当前显示原文说明。
Write and publish a post to your own static blog: TL;DR, ASCII art, markdown twin for agents, deploy, and social distribution
中文简介正在准备中。当前显示原文说明。
Quick capture of raw thoughts with intelligent domain classification and competitive intelligence extraction
中文简介正在准备中。当前显示原文说明。
Run one task through the V-model verification loop: CP-2 plan → CP-3 build → CP-3v component verify → CP-4 integration verify (full lane) → CP-5 acceptance. The worker never grades its own homework; evidence rows trace back to AC-n. Opt-in: invoke with /closed-loop or by asking for the closed loop, proper verification, or an evidence trail. Ordinary work does not run this.
中文简介正在准备中。当前显示原文说明。
Deep-dive 7-day analysis across all data sources for weekly reviews, board prep, and strategic planning
中文简介正在准备中。当前显示原文说明。