Analyze current repository context and suggest relevant Agent Skills from the GitHub awesome-copilot repository that are not already available in this repository. Agent Skills are self-contained folders located in the skills folder of the awesome-copilot repository, each containing a SKILL.md file with instructions and optional bundled assets.
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionsuggest-awesome-github-copilot-skillsExecute the skills CLI command in your project's root directory to begin installation:
Fetches suggest-awesome-github-copilot-skills from github/awesome-copilot and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate suggest-awesome-github-copilot-skills. Access via /suggest-awesome-github-copilot-skills in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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Analyze current repository context and suggest relevant Agent Skills from the GitHub awesome-copilot repository that are not already available in this repository. Agent Skills are self-contained folders located in the skills folder of the awesome-copilot repository, each containing a SKILL.md file with instructions and optional bundled assets.
#fetch tool..github/skills/ folderSKILL.md files to get name and descriptionSKILL.md from awesome-copilot repository using raw GitHub URLs (e.g., https://raw.githubusercontent.com/github/awesome-copilot/main/skills/<skill-name>/SKILL.md).github/skills/ folder, preserving the folder structureSKILL.md and any bundled assets (scripts, templates, data files)#fetch tool to download assets, but may use curl using #runInTerminal tool to ensure all content is retrieved#todos tool to track progress🔍 Repository Patterns:
🗨️ Chat History Context:
Display analysis results in structured table comparing awesome-copilot skills with existing repository skills:
| Awesome-Copilot Skill | Description | Bundled Assets | Already Installed | Similar Local Skill | Suggestion Rationale |
|---|---|---|---|---|---|
| gh-cli | GitHub CLI skill for managing repositories and workflows | None | ❌ No | None | Would enhance GitHub workflow automation capabilities |
| aspire | Aspire skill for distributed application development | 9 reference files | ✅ Yes | aspire | Already covered by existing Aspire skill |
| terraform-azurerm-set-diff-analyzer | Analyze Terraform AzureRM provider changes | Reference files | ⚠️ Outdated | terraform-azurerm-set-diff-analyzer | Instructions updated with new validation patterns - Update recommended |
.github/skills/ directorySKILL.md front matter to extract name and descriptionSKILL.md:
https://raw.githubusercontent.com/github/awesome-copilot/main/skills/<skill-name>/SKILL.md#fetch toolBased on the Agent Skills specification, each skill is a folder containing:
SKILL.md: Main instruction file with front matter (name, description) and detailed instructionsSKILL.mdazure-deployment-preflight)name field in SKILL.md front matter must match the folder nameSkills in awesome-copilot use this front matter format in SKILL.md:
---
name: 'skill-name'
description: 'Brief description of what this skill provides and when to use it'
---
fetch tool to get content from awesome-copilot repository skills documentationgithubRepo tool to get individual skill content for download.github/skills/ directorySKILL.md files to extract names and descriptionsWhen outdated skills are identified:
.github/skills/ directorySKILL.mdMake data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
github/awesome-copilot
JuliusBrussee/caveman
JuliusBrussee/caveman
whyashthakker/agent-skills-marketing
mattpocock/skills
parcadei/continuous-claude-v3
We added suggest-awesome-github-copilot-skills from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
suggest-awesome-github-copilot-skills reduced setup friction for our internal harness; good balance of opinion and flexibility.
Solid pick for teams standardizing on skills: suggest-awesome-github-copilot-skills is focused, and the summary matches what you get after install.
suggest-awesome-github-copilot-skills fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Registry listing for suggest-awesome-github-copilot-skills matched our evaluation — installs cleanly and behaves as described in the markdown.
Useful defaults in suggest-awesome-github-copilot-skills — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
suggest-awesome-github-copilot-skills reduced setup friction for our internal harness; good balance of opinion and flexibility.
We added suggest-awesome-github-copilot-skills from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
suggest-awesome-github-copilot-skills has been reliable in day-to-day use. Documentation quality is above average for community skills.
I recommend suggest-awesome-github-copilot-skills for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
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