Composio
ComposioHQ/composio
Route and complete Composio work across Composio For You and Composio Platform.
Generate personalized status briefings on demand. An agent skill from github/awesome-copilot.
The automated check flagged lines worth reading first. See the safety section below.
$ npx skills add github/awesome-copilot --skill roundup -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install github/awesome-copilot roundup --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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-srcUse ~/.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/
Install the "roundup" agent skill from https://github.com/github/awesome-copilot/tree/main/skills/roundup into .claude/skills/roundup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "roundup", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/github/awesome-copilot/tree/main/skills/roundupType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add github/awesome-copilot --skill roundup -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install github/awesome-copilot roundup --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/github/awesome-copilot.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/roundup .agents/skills/roundup && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "roundup" agent skill from https://github.com/github/awesome-copilot/tree/main/skills/roundup into .agents/skills/roundup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "roundup", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add github/awesome-copilot --skill roundup -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install github/awesome-copilot roundup --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/github/awesome-copilot.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/roundup .cursor/skills/roundup && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "roundup" agent skill from https://github.com/github/awesome-copilot/tree/main/skills/roundup into .cursor/skills/roundup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "roundup", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/github/awesome-copilot.git --path skills/roundup--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add github/awesome-copilot --skill roundup -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install github/awesome-copilot roundup --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/github/awesome-copilot.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/roundup .gemini/skills/roundup && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "roundup" agent skill from https://github.com/github/awesome-copilot/tree/main/skills/roundup into .gemini/skills/roundup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "roundup", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install github/awesome-copilot roundupInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add github/awesome-copilot --skill roundup -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/github/awesome-copilot.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/roundup .github/skills/roundup && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "roundup" agent skill from https://github.com/github/awesome-copilot/tree/main/skills/roundup into .github/skills/roundup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "roundup", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add github/awesome-copilot --skill roundup -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install github/awesome-copilot roundup --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/github/awesome-copilot.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/roundup .opencode/skills/roundup && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "roundup" agent skill from https://github.com/github/awesome-copilot/tree/main/skills/roundup into .opencode/skills/roundup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "roundup", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
roundupGenerate 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. 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.
3 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 727ff2e. It shows what the files ask for, not the result of running them.
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.
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.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
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.
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.
The automated check found patterns that need a careful read before installing.
tion. Work through them systematically. Don't tell the user about each tool call as you make it -- just gather the dataAutomated 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.
The full file from github/awesome-copilot at commit 727ff2e, republished under its MIT licence (© github). 1,556 words, ~2,591 tokens.
.claude/skills/roundup/SKILL.md (or your agent's skills folder).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.
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.
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:
ask_user with the audience names as choices.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."
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.
If GitHub repos or orgs are listed in the config:
list_pull_requests, search_pull_requests, or similar GitHub MCP tools. Focus on the time window.If M365 or WorkIQ is listed in the config:
ask_work_iq with targeted questions based on what the config says to look for. Good queries:If Slack channels are listed in the config and Slack MCP tools are available:
If Google Workspace tools are available:
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.
Once you have the raw data, draft the briefing. This is where the config's style guide matters most.
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.
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.
Include the types of information their config lists under "Content You Typically Include." Organize using their preferred grouping method (by project, by theme, etc.).
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.
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.
Use the audience profile to adjust detail level and focus:
If the audience profile notes specific format preferences (e.g., "three bullets max"), respect those constraints.
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.
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:
~/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.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."
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."
Tell the user to run setup first. Don't try to generate without a 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.
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.
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.
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
Just SKILL.md in skills/roundup of github/awesome-copilot.
Open the folder on GitHubat commit 727ff2e
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.
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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Roundup this skillgithub/awesome-copilot | 40k | 1 repos | ~2.6k | Automated safety check: Warn | MIT | |
| ComposioComposioHQ/composio | 30k | 1 repos | ~1.7k | Automated safety check: Pass | MIT | |
| Nemoclaw Maintainer Normalize Title TagsNVIDIA/NemoClaw | 23k | — | ~693 | Automated safety check: Pass | Apache-2.0 | |
| Opentagamplifthq/opentag | 1.4k | — | ~1.3k | Automated safety check: Notes | MIT | |
| Connect Apps with ComposioComposioHQ/awesome-claude-skills | 77k | 3 repos | ~557 | Automated safety check: Pass | None | |
| Openloomi Connectorsmelandlabs/openloomi | 1k | — | ~3.3k | Automated safety check: Pass | Apache-2.0 |
ComposioHQ/composio
Route and complete Composio work across Composio For You and Composio Platform.
NVIDIA/NemoClaw
Remove bracketed NemoClaw tags from GitHub issue and PR titles.
amplifthq/opentag
Deploy or operate OpenTag's supported paired setup when a user needs to bootstrap the self-hosted Docker Compose Control Plane and Slack Source App, configure or pair a local ACP Runner with a…
ComposioHQ/awesome-claude-skills
Connects an agent to 1000+ external apps through the Composio Tool Router plugin, so it can actually send emails, create issues and post messages instead of only drafting them.
melandlabs/openloomi
openloomi Connectors tools - manage the native 7 messaging integrations and pair with the composio skill for the 1000+ apps OAuth layer (Slack, Discord, X, Gmail, Outlook, Google…
LeoYeAI/teammate-skill
Distill a teammate into an AI Skill. An agent skill from LeoYeAI/teammate-skill.
github/awesome-copilot
Maps an unfamiliar codebase into seven evidence-backed documents in docs/codebase/, using a scan script and templates, for onboarding or architecture write-ups.
github/awesome-copilot
Designs Azure infrastructure from a natural-language description, or diagrams an existing resource group, then refines the design through conversation and deploys it with Bicep.
github/awesome-copilot
Generates, edits and validates draw.io files with correct mxGraph XML, covering flowcharts, architecture, sequence, ER and UML class diagrams.
github/awesome-copilot
Cleans raw credit data and screens variables before loan modeling, dropping unstable, noisy or redundant features and writing an Excel report of every step.
github/awesome-copilot
Builds a warm, browser-based daily focus board the user updates by talking to their agent, with Eisenhower priorities, a brain-dump box and kind not-today carryover.
github/awesome-copilot
End-to-end skill for building, testing, linting, versioning, and publishing a production-grade Python library to PyPI.
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.
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.
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.
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.
SKILL.md names no scripts, command-line tools or credentials: Roundup is instructions for the agent only.
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.
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.
Roundup is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
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.
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.
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.