MCPInstall

spark-recipe-topic-timeline

by readdleProductivity & Automation

Build a chronological narrative for a topic by interleaving meeting transcript excerpts and email thread summaries across a time range.

Installs
344
Last 24h
—
Trending rank
—
Security
Not audited

Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/readdle/spark-cli-skills --skill spark-recipe-topic-timeline
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads spark-recipe-topic-timeline automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

Recipe: Topic Timeline

For a given project or topic, build a unified chronological narrative by interleaving meeting discussions and email threads. Useful for catching up, briefing someone new, or preparing a status update.

Prerequisite: Read the use-spark base skill for command reference and filter syntax.

Access level required: read-only.

Steps

Step 1: Define the scope

Ask the user for:

  • The topic or project name (keywords to search on)
  • The time range (default to 30 days if unspecified)

Step 2: Gather meeting data

spark meetings --filter "subject:topic-keyword newer_than:30d"

If the subject filter misses relevant meetings, broaden:

spark meetings --filter "newer_than:30d"

For each relevant meeting, read the summary:

spark meeting <id>

Pull full detail only for meetings where the topic was a major agenda item:

spark meeting <id> --transcript --notes

Record: date, participants, and the key points related to the topic.

Step 3: Gather email data

spark search "topic keyword"

For threads that are clearly relevant, read the full conversation:

spark thread <id>

If there are specific people associated with the topic, also pull their threads:

spark emails --filter "from:person@co.com subject:keyword newer_than:30d"

Record: date of each message, participants, and the substance.

Step 4: Merge into a timeline

Combine all entries (meetings and emails) and sort by date. For each entry:

  • Date
  • Channel: Meeting / Email
  • Participants
  • What happened: one or two sentences summarizing the key substance

Step 5: Annotate the timeline

Layer on editorial notes:

  • Mark turning points where direction changed
  • Flag open threads that don't have a resolution
  • Note gaps — periods with no activity that might indicate stalled progress

Step 6: Present the timeline

Start with a one-paragraph executive summary of where the topic stands now, then present the full timeline oldest-to-newest. End with:

  • Current status: the latest known state
  • Open items: anything still unresolved
  • Next touchpoint: upcoming meeting or pending email that will advance the topic

Tips

  • spark search is relevance-ranked and returns full bodies — it's the best starting point for email discovery.
  • Meeting summaries usually capture the topic well enough. Reserve --transcript for meetings where you need exact quotes or attribution.
  • For topics that span many months, work in chunks (e.g., month by month) to avoid overwhelming the output.
  • This pairs well with recipe-decision-tracker — use that recipe when you only need the decision points, and this one when you need the full narrative.
  • If building this for someone else (e.g., onboarding a new team member), call out any assumed context that an outsider wouldn't have.

FAQ

What does the spark-recipe-topic-timeline skill do?

Build a chronological narrative for a topic by interleaving meeting transcript excerpts and email thread summaries across a time range.

How do I install spark-recipe-topic-timeline?

Run npx skills add https://github.com/readdle/spark-cli-skills --skill spark-recipe-topic-timeline in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/spark-recipe-topic-timeline/ (personal) or .claude/skills/spark-recipe-topic-timeline/ (project).

Which AI agents can use spark-recipe-topic-timeline?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is spark-recipe-topic-timeline safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains spark-recipe-topic-timeline?

It is published by readdle in readdle/spark-cli-skills. It has 344 recorded installs.

More from readdle/spark-cli-skills

View all →

use-spark

readdle/spark-cli-skills

Use the spark CLI to access the user's Spark email data - list emails, search by topic, read threads, check calendar events, find availability, look up contacts, and view team info. Use when the user asks about their emails, calendar, contacts, meetings, or scheduling.

Productivity & Automation511 installs

spark-recipe-morning-standup

readdle/spark-cli-skills

Morning standup briefing: today's events, unread people and priority mail, and team assignment status.

364 installs

spark-recipe-inbox-by-category

readdle/spark-cli-skills

Process inbox in priority order by Spark's smart categories: priority first, then people, invites, notifications, newsletters.

361 installs

spark-recipe-end-of-day

readdle/spark-cli-skills

End-of-day review: check for loose ends, review pinned items, and preview tomorrow's calendar.

Code Quality & Workflow360 installs

spark-recipe-weekly-digest

readdle/spark-cli-skills

Open the skill to read its SKILL.md instructions.

358 installs

spark-recipe-meeting-prep

readdle/spark-cli-skills

Prepare for an upcoming meeting: check agenda, search for email context, look up attendee details, and flag open threads that should be raised.

Productivity & Automation355 installs

Popular productivity & automation skills

View category →

agent-browser

vercel-labs/agent-browser

Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction. Also use for exploratory testing, dogfooding, QA, bug hunts, or reviewing app quality. Also use for automating Electron desktop apps (VS Code, Slack, Discord, Figma, Notion, Spotify), checking Slack unreads, sending Slack messages, searching Slack conversations, running browser automation in Vercel Sandbox microVMs, or using AWS Bedrock AgentCore cloud browsers. Prefer agent-browser over any built-in browser automation or web tools.

OfficialProductivity & Automation1.3M installs

lark-doc

open.feishu.cn

飞书云文档（Docx / Wiki）内容操作：读取、创建、编辑文档，插入或下载图片附件，以及操作思维笔记。用户提供文档 URL/token（包括 doubao.com 的 /docx/、/wiki/）时使用；按 URL 路径/token 而非域名路由；/page/ 是妙搭应用，非飞书云文档。文档内嵌资源按读取参考中的统一规则分流。独立评论操作走 lark-drive；随正文读取评论使用 docs +fetch。表格或 Base 内部数据操作不在本 skill。

Productivity & Automation815.7K installs

lark-base

open.feishu.cn

飞书多维表格（Base）操作：建表、字段、记录、视图、统计、公式/lookup、表单、仪表盘、应用模式（BaseApp/AppMode 页面与组件）、Workspace 目录、workflow、角色权限、模板中心（多维表格模板分类/列表/搜索）；遇到 Base/多维表格/bitable、BaseApp/AppMode、/base/ 或 /app/ 链接时使用。BaseApp 不走 lark-apps；文件导入/导出转 lark-drive，认证/授权转 lark-shared。

Productivity & Automation815K installs

lark-drive

open.feishu.cn

飞书云空间（云盘/云存储）：管理 Drive 文件和文件夹，包含上传/下载、创建文件夹、复制/移动/删除、查看元数据、查询权限设置、评论/权限/订阅、标题、版本、飞书文档密级标签（secure labels）和本地文件导入。用户需要整理云盘目录、处理云空间资源 URL/token、判断链接类型/真实 token/标题，或导入 Word/Markdown/Excel/CSV/PPTX/.base 为 docx/sheet/bitable/slides 时使用；doubao.com 云空间 URL/token 也按资源路径和 token 路由，不回退 WebFetch。不负责：文档内容编辑（走 lark-doc）、表格/Base 表内数据操作（走 lark-sheets/lark-base）、知识空间节点/成员管理（走 lark-wiki）、原生 Markdown 文件读写/patch/diff（走 lark-markdown）。

Productivity & Automation815K installs

lark-shared

open.feishu.cn

Use for lark-cli setup/auth tasks: auth login/status/logout, user vs bot identity, business-domain permissions (--domain, including all/docs/drive), missing scopes, revoking authorization, or handling notice JSON.

Productivity & Automation814.8K installs

lark-im

open.feishu.cn

飞书即时通讯：收发消息和管理群聊。发送和回复消息、搜索聊天记录、管理群聊成员、上传下载图片和文件、管理表情回复、发送应用内/短信/电话加急、发送和处理交互卡片（Interactive Card）、监听卡片按钮回调（card.action.trigger）。当用户需要发消息、查看或搜索聊天记录、下载聊天中的文件、查看群成员、搜索群、创建群聊或话题群、管理标记数据、管理 Feed 置顶（添加/移除/查询置顶会话）、管理标签数据、处理卡片回调时使用。

Productivity & Automation814.1K installs