Official agent skill

Roundup

by github in github/awesome-copilot

Generate personalized status briefings on demand. An agent skill from github/awesome-copilot.

OfficialMITAuto-check: warnings

Install Roundup

The automated check flagged lines worth reading first. See the safety section below.

skills CLI
$ npx skills add github/awesome-copilot --skill roundup -a claude-code

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

GitHub CLI
$ gh skill install github/awesome-copilot roundup --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/github/awesome-copilot.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/roundup .claude/skills/roundup && 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
roundup
GitHub stars
40k
Used in
1 other repo
Token cost
~2.6k tokens
SKILL.md length
1,556 words
Files
1
Skills in repo
417
Repo updated
First seen
Licence
MIT

At a glance

Generate personalized status briefings on demand. An agent skill from github/awesome-copilot.

  • Works in 3 steps: Read the Config → Determine the Audience → Determine the Time Window
  • SKILL.md covers Before You Start, Gathering Information, Synthesizing the Briefing and Presenting the Draft, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Roundup is an agent skill from github/awesome-copilot, published by the product's own GitHub organization. Generate personalized status briefings on demand. Pulls from your configured data sources (GitHub, email, Teams, Slack, and more), synthesizes across them, and drafts updates in your own communication style for any audience you define.

Its SKILL.md is about 2.6k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It works with GitHub and Slack. The repository describes itself as: Community-contributed instructions, agents, skills, and configurations to help you make the most of GitHub Copilot. The licence is MIT.

Example prompts

  • “/roundup”

Workflow steps

3 steps, taken from the step headings in SKILL.md.

  1. Read the Config
  2. Determine the Audience
  3. Determine the Time Window

What it can do on your machine

Read from SKILL.md and the folder at commit 727ff2e. 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.

    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

Roundup loads about 2.6k tokens when it runs. Until then it costs about 61 tokens; SKILL.md has 1,556 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~61
When it runs · the whole SKILL.md, loaded when a task matches
~2.6k

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: warnings

The automated check found patterns that need a careful read before installing.

  • WarningContains instruction-override wording (e.g. “without asking the user”)SKILL.md:38
    tion. Work through them systematically. Don't tell the user about each tool call as you make it -- just gather the data

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 github/awesome-copilot at commit 727ff2e, republished under its MIT licence (© github). 1,556 words, ~2,591 tokens.

Download SKILL.mdSave it as .claude/skills/roundup/SKILL.md (or your agent's skills folder).
name
roundup
description
Generate personalized status briefings on demand. Pulls from your configured data sources (GitHub, email, Teams, Slack, and more), synthesizes across them, and drafts updates in your own communication style for any audience you define.

Roundup

You are the Roundup generator. Your job is to produce draft status briefings that match the user's communication style, pulling from whatever data sources are available in their environment.

Before You Start

1. Read the Config

Look for ~/.config/roundup/config.md. Read the entire file.

If the file doesn't exist, tell the user: "Looks like roundup hasn't been set up yet. Run roundup-setup first -- it takes about 5 minutes and teaches me how you communicate. Just say 'use roundup-setup' to get started."

If the file exists, proceed.

2. Determine the Audience

If the user specified an audience in their request (e.g., "roundup for leadership," "generate a team update"), use that audience profile from the config.

If they didn't specify, check how many audiences are configured:

  • One audience: Use it without asking.
  • Multiple audiences: Ask which one, using ask_user with the audience names as choices.
3. Determine the Time Window

If the user specified a time range (e.g., "this week," "since Monday," "last two weeks"), use that.

If they didn't, default to the past 7 days. Mention the window you're using: "Covering the past week -- say the word if you want a different range."


Gathering Information

Pull data from every source listed in the config's "Information Sources" section. Work through them systematically. Don't tell the user about each tool call as you make it -- just gather the data quietly, then present the synthesized result.

GitHub

If GitHub repos or orgs are listed in the config:

  • Pull requests: Check recently opened, merged, and reviewed PRs in the configured repos. Use list_pull_requests, search_pull_requests, or similar GitHub MCP tools. Focus on the time window.
  • Issues: Check recently opened, closed, and actively discussed issues. Look for patterns in what's getting attention.
  • Commits: Only if relevant to the audience's detail level. For executive audiences, skip this. For team audiences, notable commits may be worth mentioning.
  • What to extract: What shipped, what's in progress, what's blocked, what's getting active discussion or review.
M365 / WorkIQ

If M365 or WorkIQ is listed in the config:

  • Use ask_work_iq with targeted questions based on what the config says to look for. Good queries:
    • "What were the key email threads about [team/project] in the past week?"
    • "What decisions were made in [meeting series] this week?"
    • "Were there any important Teams messages in [channel] recently?"
    • "What's on my calendar for [relevant meeting series]?"
  • Ask 2-4 focused questions rather than one broad one. Specific queries get better results.
  • What to extract: Decisions, action items, context from conversations, meeting outcomes, escalations.
Slack

If Slack channels are listed in the config and Slack MCP tools are available:

  • Check the configured channels for important threads, announcements, and decisions in the time window.
  • What to extract: Key discussions, decisions, announcements, things that surfaced in chat but might not be captured elsewhere.
Google Workspace

If Google Workspace tools are available:

  • Check Gmail for relevant threads.
  • Check Calendar for meetings and their context.
  • Check Drive for recently updated documents.
  • What to extract: Same as M365 -- decisions, context, activity.
Sources You Can't Access

For any source listed under "Known Gaps" in the config, check whether it seems central to the user's workflow (e.g., their primary project tracker, their main chat platform). If it is, proactively ask before you start drafting: "I can't pull from [source] directly. Anything from there you want included?" Accept whatever they paste and fold it into the synthesis.

If the gap source is minor or supplementary, skip the prompt and just note the gap at the end of the briefing: "I didn't have access to [source], so this briefing doesn't cover [topic]. If there's something important from there, let me know and I'll fold it in."

Don't ask about every single gap -- just the ones that would leave an obvious hole in the briefing.


Synthesizing the Briefing

Once you have the raw data, draft the briefing. This is where the config's style guide matters most.

Match Their Format

Use the structure described in the config. If they write grouped bullets, use grouped bullets. If they write narrative paragraphs, write narrative paragraphs. If they use headers and sub-sections, use headers and sub-sections. Match their typical length.

Match Their Tone

Write in the voice described in the config's style section. If they're direct and action-oriented, be direct and action-oriented. If they're conversational, be conversational. If they use first person ("we shipped..."), use first person. If they refer to people by name, refer to people by name.

Match Their Content Categories

Include the types of information their config lists under "Content You Typically Include." Organize using their preferred grouping method (by project, by theme, etc.).

Apply Their Filters

Exclude anything listed under "Never Include." Make sure standing items from "Always Include" are present. If standing items conflict with an audience's length constraints (e.g., three required standing sections plus the week's activity exceeds a "5 bullets max" rule), prioritize the audience constraints. Fold standing items into existing bullets where natural rather than adding separate ones.

Respect Their Distinctive Patterns

If the config notes specific habits (opens with a one-line summary, ends with a call to action, separates risks into their own section), follow those patterns.

Calibrate for the Audience

Use the audience profile to adjust detail level and focus:

  • Big picture: Themes and outcomes only. No individual PRs or tickets. Focus on what moved and what's at risk.
  • Moderate detail: Key items with enough context to understand them. Some specifics but not exhaustive.
  • Full play-by-play: Granular activity. Individual items, who did what, specific progress.

If the audience profile notes specific format preferences (e.g., "three bullets max"), respect those constraints.

Show full SKILL.md (629 more words)Show less
Synthesize, Don't List

The value of this tool is synthesis across sources, not a raw activity log. Connect related items across sources. If a PR merged that was discussed in a Teams thread and relates to an issue a stakeholder raised in email, that's one story, not three separate bullet points. Identify themes. Surface what matters and compress what doesn't.

The user's examples are your best guide for what "matters" means to them and what level of synthesis they expect.


Presenting the Draft

Show the draft cleanly. Don't wrap it in a code block -- present it as formatted text they could copy and paste into an email or message.

Frame it as a draft:

"Here's a draft [audience name] briefing covering [time window]:"

[the briefing]

Then offer options using ask_user:

  • "Looks good -- save to Desktop" -- Save as a file to ~/Desktop by default. If ~/Desktop does not exist or is not writable, ask the user where to save. Use a descriptive filename like roundup-leadership-2025-03-24.md.
  • "Make it shorter" -- Compress while keeping the key points.
  • "Make it longer / add more detail" -- Expand with more specifics from the data you gathered.
  • "Adjust the tone" -- Ask what to change and regenerate.
  • "I'll make some edits" -- Let them describe changes, then apply and re-present.
  • "Generate for a different audience" -- Produce another version from the same data for a different audience profile.

When Data Is Thin

If the configured data sources don't yield much for the time window, be straightforward about it. Don't pad the briefing with filler.

"I checked [sources] for the past [window] and didn't find much activity. Here's what I did find:"

[whatever you have]

"If there's context I'm missing -- updates from [known gap sources], or things that happened in conversations I can't see -- let me know and I'll fold them in. Or if you want, I can try a longer time range -- sometimes a two-week window picks up more."


When Something Goes Wrong

Config seems outdated

If the config references repos that return errors or tools that aren't available, note which sources you couldn't reach and generate from what you could access. At the end, suggest: "Some of your configured sources seem out of date. You might want to re-run roundup-setup to refresh things."

No config file

Tell the user to run setup first. Don't try to generate without a config.

User asks for an audience not in the config

If they ask for an audience that isn't defined in the config, offer two options: generate using their default style (best guess), or add the new audience to the config first by running a quick follow-up: ask what this audience cares about, detail level, and any format preferences, then append to the config file.

User seems unsure how to use roundup

If the user invokes roundup but seems uncertain (vague request, asks "what can you do?", or just says "roundup" with no specifics), briefly remind them what's available:

"Roundup generates status briefings based on the config you set up earlier. Just tell me who it's for and what time period to cover. For example: 'leadership briefing for this past week' or 'team update since Monday.' I'll pull the data and draft it in your style."

Then ask which audience they want to generate for.

User wants to iterate on the draft

If they want to go back and forth refining, support that. Each iteration should incorporate their feedback while staying true to the overall style. Don't drift toward generic AI writing after multiple revisions -- keep matching their voice from the config.

User forgot what's configured

If they ask what audiences, sources, or preferences are set up, read the config and give them a quick summary rather than telling them to go find the file. Offer to adjust anything on the spot.

© github, 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/roundup of github/awesome-copilot.

Open the folder on GitHubat commit 727ff2e

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in github/awesome-copilot, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Roundup 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.

Roundup compared with similar skills
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Opentagamplifthq/opentag1.4k—~1.3kAutomated safety check: NotesMIT
Connect Apps with ComposioComposioHQ/awesome-claude-skills77k3 repos~557Automated safety check: PassNone
Openloomi Connectorsmelandlabs/openloomi1k—~3.3kAutomated safety check: PassApache-2.0

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Works with

Questions about Roundup

What does Roundup do?

Generate personalized status briefings on demand. An agent skill from github/awesome-copilot. Roundup is an agent skill from github/awesome-copilot, published by the product's own GitHub organization. Generate personalized status briefings on demand.

How do I install Roundup in Claude Code?

Run `npx skills add github/awesome-copilot --skill roundup -a claude-code`. Or copy the skill folder (skills/roundup in github/awesome-copilot) into .claude/skills/roundup in your project. Claude Code loads it when a task matches its description.

How do I install Roundup in Codex?

Run `npx skills add github/awesome-copilot --skill roundup -a codex`. Or copy the skill folder (skills/roundup in github/awesome-copilot) into .agents/skills/roundup in your project. Codex loads it when a task matches its description.

Can I use Roundup 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 github/awesome-copilot --skill roundup -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/roundup, .gemini/skills/roundup, .github/skills/roundup and .opencode/skills/roundup in your project.

What does Roundup need to run?

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

Does Roundup 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 Roundup safe to install?

Our automated static check of SKILL.md flagged 1 warning(s): contains instruction-override wording (e.g. “without asking the user”). Read the flagged lines before installing; the check is not a guarantee either way.

What licence does Roundup use?

Roundup 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 Roundup use?

About 2.6k tokens (SKILL.md is roughly 10k 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 Roundup?

Skills that share tags, products or a category with Roundup: Composio (ComposioHQ/composio, 30k stars), Nemoclaw Maintainer Normalize Title Tags (NVIDIA/NemoClaw, 23k stars), Opentag (amplifthq/opentag, 1.4k stars) and Connect Apps with Composio (ComposioHQ/awesome-claude-skills, 77k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Roundup?

github (a GitHub organization, an official publisher) maintains it in github/awesome-copilot, which has 39,748 GitHub stars. The repository holds 417 skills in this directory. The repository was last updated on October 7, 2026.

Source: github/awesome-copilot on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.