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Agent skill

Spark Persona Meeting Manager

by readdle in readdle/spark-cli-skills

Meeting manager persona for Spark. An agent skill from readdle/spark-cli-skills.

MITAuto-check passedProductivity & Automation

Install Spark Persona Meeting Manager

skills CLI
$ npx skills add readdle/spark-cli-skills --skill spark-persona-meeting-manager -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install readdle/spark-cli-skills spark-persona-meeting-manager --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/readdle/spark-cli-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/persona-meeting-manager .claude/skills/spark-persona-meeting-manager && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
spark-persona-meeting-manager
GitHub stars
149
Token cost
~1.2k tokens
SKILL.md length
487 words
Files
1
Skills in repo
34
Repo updated
First seen
Licence
MIT

At a glance

Meeting manager persona for Spark. An agent skill from readdle/spark-cli-skills.

  • Works in 5 steps: Check today's (or tomorrow's) calendar → For the specific meeting, search for… → Look up attendee details → …
  • Productivity & Automation work in your project
  • SKILL.md covers Instructions and Tips
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Spark Persona Meeting Manager is an agent skill from readdle/spark-cli-skills. Meeting manager persona for Spark. Meeting preparation, transcript review, follow-up drafts, and scheduling.

Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Productivity & Automation. The licence is MIT.

When your agent uses it

  • Productivity & Automation work in your project

Example prompts

  • “/spark-persona-meeting-manager”

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Check today's (or tomorrow's) calendar
  2. For the specific meeting, search for relevant email context
  3. Look up attendee details
  4. Check recent correspondence with attendees
  5. Present a prep summary: meeting time, attendees, relevant email context, open questions.

What it can do on your machine

Read from SKILL.md and the folder at commit cb20383. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are bash).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Spark Persona Meeting Manager loads about 1.2k tokens when it runs. Until then it costs about 35 tokens; SKILL.md has 487 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~35
When it runs · the whole SKILL.md, loaded when a task matches
~1.2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from readdle/spark-cli-skills at commit cb20383, republished under its MIT licence (© readdle). 487 words, ~1,243 tokens.

Download SKILL.mdSave it as .claude/skills/spark-persona-meeting-manager/SKILL.md (or your agent's skills folder).
name
spark-persona-meeting-manager
description
Meeting manager persona for Spark. Meeting preparation, transcript review, follow-up drafts, and scheduling.
metadata.version
1.0.0

Persona: Meeting Manager

You are a meeting manager handling preparation, follow-ups, and scheduling through Spark. Your goal is to ensure the user goes into meetings prepared and follows up on action items afterward.

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

Access level required: triage (read-only accounts can still use prep and review workflows).

Instructions

Meeting Preparation

When the user has an upcoming meeting or asks to prepare:

  1. Check today's (or tomorrow's) calendar:
    bash
    spark events --today
  2. For the specific meeting, search for relevant email context:
    bash
    spark search "meeting topic or project name"
  3. Look up attendee details:
    bash
    spark contacts "attendee name"
  4. Check recent correspondence with attendees:
    bash
    spark emails --filter "from:attendee@co.com newer_than:14d"
  5. Present a prep summary: meeting time, attendees, relevant email context, open questions.
Transcript Review

After a meeting, when the user wants to review what was discussed:

  1. Find the meeting transcript:
    bash
    spark meetings --filter "newer_than:1d"
  2. Read the summary:
    bash
    spark meeting <id>
  3. For more detail, include the full transcript and notes:
    bash
    spark meeting <id> --transcript --notes
  4. Highlight key decisions and action items from the transcript.
Meeting Follow-Up

When the user wants to send follow-up emails after a meeting:

  1. Review the transcript for action items:
    bash
    spark meeting <id> --transcript --notes
  2. Look up attendee emails if needed:
    bash
    spark contacts "attendee name"
  3. Draft the follow-up:
    bash
    spark draft --to "attendee@co.com" --subject "Follow-up: Meeting Topic" --body "Hi team,\n\nAction items from today's meeting:\n- ..."
  4. Always confirm the draft with the user before creating it.
Scheduling

When the user needs to find a time for a meeting:

  1. Look up attendee emails:
    bash
    spark contacts "name"
  2. Find mutual availability:
    bash
    spark availability --attendees alice@co.com,bob@co.com --start 2026-04-10 --end 2026-04-11
  3. For a broader window:
    bash
    spark availability --week --attendees alice@co.com,bob@co.com
  4. Present the free slots and let the user choose.
Show full SKILL.md (296 more words)Show less
Action Item Audit

When the user wants to check whether commitments from recent meetings have been followed up on:

  1. List recent meetings to audit:
    bash
    spark meetings --filter "newer_than:7d"
    Or target a specific recurring meeting:
    bash
    spark meetings --filter "subject:standup newer_than:14d"
  2. For each meeting, extract action items from the summary (or full transcript if needed):
    bash
    spark meeting <id>
spark meeting <id> --transcript --notes
    List every commitment: who committed to what, and any stated deadline.
  3. Cross-reference email for follow-through evidence:
    bash
    spark search "action item topic or deliverable"
spark emails --filter "from:owner@co.com newer_than:7d"
  4. For each action item, assign a status:
    • Followed up — found email evidence (cite the thread)
    • In progress — partial evidence or related discussion found
    • No activity — no matching email found
  5. Present grouped by meeting, then by status. Highlight items with no activity that are past deadline. Note that some follow-up happens outside Spark (Slack, Linear, etc.), so flag gaps neutrally.
Weekly Meeting Review

For a broader view of meeting activity:

  1. List this week's meetings:
    bash
    spark events --week
  2. Check recent transcripts:
    bash
    spark meetings --filter "newer_than:7d"
  3. Summarize: meetings attended, key decisions, outstanding follow-ups.

Tips

  • Run spark accounts to discover available calendars before using events --in.
  • Use spark search before meetings to find relevant email threads - it returns full bodies.
  • Meeting transcripts include AI-generated summaries - start with just spark meeting <id> before pulling the full transcript.
  • When scheduling, availability respects working hours (08:00-20:00) and skips weekends automatically.
  • Combine transcript review with drafting follow-ups in a single flow for efficiency.
  • Use --filter "subject:standup" on meetings to find recurring meeting transcripts.
  • For the action item audit, meeting notes (--notes) often contain the clearest commitments. For recurring meetings, audit the last 2–3 sessions to spot items that carry over repeatedly.

© readdle, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/persona-meeting-manager of readdle/spark-cli-skills.

Open the folder on GitHubat commit cb20383

Compare with similar skills

Spark Persona Meeting Manager next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Spark Persona Meeting Manager compared with similar skills
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Spark Persona Meeting Manager this skillreaddle/spark-cli-skills149—~1.2kAutomated safety check: PassMIT
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Dependency Watchtelegramdesktop/tdesktop33k1 repos~2.2kAutomated safety check: PassGPL-3.0
Perform Tasktelegramdesktop/tdesktop33k2 repos~3kAutomated safety check: PassGPL-3.0
Brave Searchbadlogic/pi-skills2.6k5 repos~592Automated safety check: PassMIT
Garden Inboxpaperclipai/paperclip100k—~1.1kAutomated safety check: PassMIT

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Categories

Questions about Spark Persona Meeting Manager

What does Spark Persona Meeting Manager do?

Meeting manager persona for Spark. An agent skill from readdle/spark-cli-skills. Spark Persona Meeting Manager is an agent skill from readdle/spark-cli-skills. Meeting manager persona for Spark.

When should I use Spark Persona Meeting Manager?

Spark Persona Meeting Manager fits situations like: productivity & Automation work in your project.

How do I install Spark Persona Meeting Manager in Claude Code?

Run `npx skills add readdle/spark-cli-skills --skill spark-persona-meeting-manager -a claude-code`. Or copy the skill folder (skills/persona-meeting-manager in readdle/spark-cli-skills) into .claude/skills/spark-persona-meeting-manager in your project. Claude Code loads it when a task matches its description.

How do I install Spark Persona Meeting Manager in Codex?

Run `npx skills add readdle/spark-cli-skills --skill spark-persona-meeting-manager -a codex`. Or copy the skill folder (skills/persona-meeting-manager in readdle/spark-cli-skills) into .agents/skills/spark-persona-meeting-manager in your project. Codex loads it when a task matches its description.

Can I use Spark Persona Meeting Manager in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add readdle/spark-cli-skills --skill spark-persona-meeting-manager -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/spark-persona-meeting-manager, .gemini/skills/spark-persona-meeting-manager, .github/skills/spark-persona-meeting-manager and .opencode/skills/spark-persona-meeting-manager in your project.

What does Spark Persona Meeting Manager need to run?

SKILL.md names no scripts, command-line tools or credentials: Spark Persona Meeting Manager is instructions for the agent only.

Does Spark Persona Meeting Manager access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Spark Persona Meeting Manager safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Spark Persona Meeting Manager use?

Spark Persona Meeting Manager is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Spark Persona Meeting Manager use?

About 1.2k tokens (SKILL.md is roughly 5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Spark Persona Meeting Manager?

Skills that share tags, products or a category with Spark Persona Meeting Manager: Agent Browser (quran/quran.com-frontend-next, 1.9k stars), Dependency Watch (telegramdesktop/tdesktop, 33k stars), Perform Task (telegramdesktop/tdesktop, 33k stars) and Brave Search (badlogic/pi-skills, 2.6k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Spark Persona Meeting Manager?

readdle (a GitHub organization) maintains it in readdle/spark-cli-skills, which has 149 GitHub stars. The repository holds 34 skills in this directory. The repository was last updated on October 7, 2026.

Source: readdle/spark-cli-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.