suggest-awesome-github-copilot-agents

Name: suggest-awesome-github-copilot-agents
Author: github

8.7kinstalls4.6kforks

How to install suggest-awesome-github-copilot-agents?

github/awesome-copilot/suggest-awesome-github-copilot-agents

$npx -y skills add github/awesome-copilot --skill suggest-awesome-github-copilot-agents

Installs into the current project.

Summary

suggest-awesome-github-copilot-agents is an agent skill published from github/awesome-copilot, installable through the skills CLI.

Files · 1

View on GitHub

SKILL.md

1	# Suggest Awesome GitHub Copilot Custom Agents
2
3	Analyze current repository context and suggest relevant Custom Agents files from the [GitHub awesome-copilot repository](https://github.com/github/awesome-copilot/blob/main/docs/README.agents.md) that are not already available in this repository. Custom Agent files are located in the [agents](https://github.com/github/awesome-copilot/tree/main/agents) folder of the awesome-copilot repository.
4
5	## Process
6
7	1. Fetch Available Custom Agents: Extract Custom Agents list and descriptions from [awesome-copilot README.agents.md](https://github.com/github/awesome-copilot/blob/main/docs/README.agents.md). Must use `fetch` tool.
8	2. Scan Local Custom Agents: Discover existing custom agent files in `.github/agents/` folder
9	3. Extract Descriptions: Read front matter from local custom agent files to get descriptions
10	4. Fetch Remote Versions: For each local agent, fetch the corresponding version from awesome-copilot repository using raw GitHub URLs (e.g., `https://raw.githubusercontent.com/github/awesome-copilot/main/agents/<filename>`)
11	5. Compare Versions: Compare local agent content with remote versions to identify:
12	- Agents that are up-to-date (exact match)
13	- Agents that are outdated (content differs)
14	- Key differences in outdated agents (tools, description, content)
15	6. Analyze Context: Review chat history, repository files, and current project needs
16	7. Match Relevance: Compare available custom agents against identified patterns and requirements
17	8. Present Options: Display relevant custom agents with descriptions, rationale, and availability status including outdated agents
18	9. Validate: Ensure suggested agents would add value not already covered by existing agents
19	10. Output: Provide structured table with suggestions, descriptions, and links to both awesome-copilot custom agents and similar local custom agents
20	AWAIT user request to proceed with installation or updates of specific custom agents. DO NOT INSTALL OR UPDATE UNLESS DIRECTED TO DO SO.
21	11. Download/Update Assets: For requested agents, automatically:
22	- Download new agents to `.github/agents/` folder
23	- Update outdated agents by replacing with latest version from awesome-copilot
24	- Do NOT adjust content of the files
25	- Use `#fetch` tool to download assets, but may use `curl` using `#runInTerminal` tool to ensure all content is retrieved
26	- Use `#todos` tool to track progress
27
28	## Context Analysis Criteria
29
30	🔍 Repository Patterns:
31
32	- Programming languages used (.cs, .js, .py, etc.)
33	- Framework indicators (ASP.NET, React, Azure, etc.)
34	- Project types (web apps, APIs, libraries, tools)
35	- Documentation needs (README, specs, ADRs)
36
37	🗨️ Chat History Context:
38
39	- Recent discussions and pain points
40	- Feature requests or implementation needs
41	- Code review patterns
42	- Development workflow requirements
43
44	## Output Format
45
46	Display analysis results in structured table comparing awesome-copilot custom agents with existing repository custom agents:
47
48	\| Awesome-Copilot Custom Agent \| Description \| Already Installed \| Similar Local Custom Agent \| Suggestion Rationale \|
49	\| ------------------------------------------------------------------------------------------------------------------------------------------------------- \| -------------------------------------------------------------------------------------------------------------------------------------------------------------------------- \| ----------------- \| ---------------------------------- \| ------------------------------------------------------------- \|
50	\| [amplitude-experiment-implementation.agent.md](https://github.com/github/awesome-copilot/blob/main/agents/amplitude-experiment-implementation.agent.md) \| This custom agent uses Amplitude's MCP tools to deploy new experiments inside of Amplitude, enabling seamless variant testing capabilities and rollout of product features \| ❌ No \| None \| Would enhance experimentation capabilities within the product \|
51	\| [launchdarkly-flag-cleanup.agent.md](https://github.com/github/awesome-copilot/blob/main/agents/launchdarkly-flag-cleanup.agent.md) \| Feature flag cleanup agent for LaunchDarkly

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suggest-awesome-github-copilot-agents

8.7kinstalls4.6kforks

View on GitHub

How to install suggest-awesome-github-copilot-agents?

github/awesome-copilot/suggest-awesome-github-copilot-agents

$npx -y skills add github/awesome-copilot --skill suggest-awesome-github-copilot-agents

Installs into the current project.

Summary

suggest-awesome-github-copilot-agents is an agent skill published from github/awesome-copilot, installable through the skills CLI.

Files · 1

View on GitHub

SKILL.md

1	# Suggest Awesome GitHub Copilot Custom Agents
2
3	Analyze current repository context and suggest relevant Custom Agents files from the [GitHub awesome-copilot repository](https://github.com/github/awesome-copilot/blob/main/docs/README.agents.md) that are not already available in this repository. Custom Agent files are located in the [agents](https://github.com/github/awesome-copilot/tree/main/agents) folder of the awesome-copilot repository.
4
5	## Process
6
7	1. Fetch Available Custom Agents: Extract Custom Agents list and descriptions from [awesome-copilot README.agents.md](https://github.com/github/awesome-copilot/blob/main/docs/README.agents.md). Must use `fetch` tool.
8	2. Scan Local Custom Agents: Discover existing custom agent files in `.github/agents/` folder
9	3. Extract Descriptions: Read front matter from local custom agent files to get descriptions
10	4. Fetch Remote Versions: For each local agent, fetch the corresponding version from awesome-copilot repository using raw GitHub URLs (e.g., `https://raw.githubusercontent.com/github/awesome-copilot/main/agents/<filename>`)
11	5. Compare Versions: Compare local agent content with remote versions to identify:
12	- Agents that are up-to-date (exact match)
13	- Agents that are outdated (content differs)
14	- Key differences in outdated agents (tools, description, content)
15	6. Analyze Context: Review chat history, repository files, and current project needs
16	7. Match Relevance: Compare available custom agents against identified patterns and requirements
17	8. Present Options: Display relevant custom agents with descriptions, rationale, and availability status including outdated agents
18	9. Validate: Ensure suggested agents would add value not already covered by existing agents
19	10. Output: Provide structured table with suggestions, descriptions, and links to both awesome-copilot custom agents and similar local custom agents
20	AWAIT user request to proceed with installation or updates of specific custom agents. DO NOT INSTALL OR UPDATE UNLESS DIRECTED TO DO SO.
21	11. Download/Update Assets: For requested agents, automatically:
22	- Download new agents to `.github/agents/` folder
23	- Update outdated agents by replacing with latest version from awesome-copilot
24	- Do NOT adjust content of the files
25	- Use `#fetch` tool to download assets, but may use `curl` using `#runInTerminal` tool to ensure all content is retrieved
26	- Use `#todos` tool to track progress
27
28	## Context Analysis Criteria
29
30	🔍 Repository Patterns:
31
32	- Programming languages used (.cs, .js, .py, etc.)
33	- Framework indicators (ASP.NET, React, Azure, etc.)
34	- Project types (web apps, APIs, libraries, tools)
35	- Documentation needs (README, specs, ADRs)
36
37	🗨️ Chat History Context:
38
39	- Recent discussions and pain points
40	- Feature requests or implementation needs
41	- Code review patterns
42	- Development workflow requirements
43
44	## Output Format
45
46	Display analysis results in structured table comparing awesome-copilot custom agents with existing repository custom agents:
47
48	\| Awesome-Copilot Custom Agent \| Description \| Already Installed \| Similar Local Custom Agent \| Suggestion Rationale \|
49	\| ------------------------------------------------------------------------------------------------------------------------------------------------------- \| -------------------------------------------------------------------------------------------------------------------------------------------------------------------------- \| ----------------- \| ---------------------------------- \| ------------------------------------------------------------- \|
50	\| [amplitude-experiment-implementation.agent.md](https://github.com/github/awesome-copilot/blob/main/agents/amplitude-experiment-implementation.agent.md) \| This custom agent uses Amplitude's MCP tools to deploy new experiments inside of Amplitude, enabling seamless variant testing capabilities and rollout of product features \| ❌ No \| None \| Would enhance experimentation capabilities within the product \|
51	\| [launchdarkly-flag-cleanup.agent.md](https://github.com/github/awesome-copilot/blob/main/agents/launchdarkly-flag-cleanup.agent.md) \| Feature flag cleanup agent for LaunchDarkly

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6 picks

Type