User Input:
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionmcp:setup-serena-mcpExecute the skills CLI command in your project's root directory to begin installation:
Fetches mcp:setup-serena-mcp from neolabhq/context-engineering-kit 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 mcp:setup-serena-mcp. Access via /mcp:setup-serena-mcp 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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User Input:
$ARGUMENTS
Ask the user where they want to store the configuration:
Options:
Project level (shared via git) - Configuration tracked in version control, shared with team
./CLAUDE.mdProject level (personal preferences) - Configuration stays local, not tracked in git
./CLAUDE.local.md.gitignore, add them if notUser level (global) - Configuration applies to all projects for this user
~/.claude/CLAUDE.mdStore the user's choice and use the appropriate paths in subsequent steps.
Check whether you have access to Serena MCP server by attempting to use one of its tools (e.g., find_symbol or get_symbols_overview).
If no access, proceed with setup.
Read the following documentation to understand Serena's capabilities and setup process:
Based on the loaded documentation:
uv is installed (required for running Serena)After adding MCP server, but before testings connection write to user this message EXACTLY:
You must restart Claude Code to load the new MCP server:
1. Exit Claude Code console (type exit or press Ctrl+C)
2. Run claude --continue
3. Type "continue" to resume setup
After restart, I will:
- Verify Serena tools are accessible
- Run initial_instructions if needed
- Perform onboarding for this project (if not already done)
Use the path determined in step 1. Once Serena is successfully set up, update the appropriate CLAUDE.md file with the following content EXACTLY:
### Use Serena MCP for Semantic Code Analysis instead of regular code search and editing
Serena MCP is available for advanced code retrieval and editing capabilities.
**When to use Serena:**
- Symbol-based code navigation (find definitions, references, implementations)
- Precise code manipulation in structured codebases
- Prefer symbol-based operations over file-based grep/sed when available
**Key tools:**
- `find_symbol` - Find symbol by name across the codebase
- `find_referencing_symbols` - Find all symbols that reference a given symbol
- `get_symbols_overview` - Get overview of top-level symbols in a file
- `read_file` - Read file content within the project directory
**Usage notes:**
- Memory files can be manually reviewed/edited in `.serena/memories/`
Add this section, if server setup at user level (global):
**Project setup (per project):**
1. Run `serena project create --index` in your project directory
2. Serena auto-detects language; creates `.serena/project.yml`
3. First use triggers onboarding and creates memory files in `.serena/memories/`
If this is a new project or Serena hasn't been initialized:
Make 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.
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
mcp:setup-serena-mcp reduced setup friction for our internal harness; good balance of opinion and flexibility.
mcp:setup-serena-mcp has been reliable in day-to-day use. Documentation quality is above average for community skills.
mcp:setup-serena-mcp is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
mcp:setup-serena-mcp fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
I recommend mcp:setup-serena-mcp for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
We added mcp:setup-serena-mcp from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Useful defaults in mcp:setup-serena-mcp — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
We added mcp:setup-serena-mcp from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
mcp:setup-serena-mcp reduced setup friction for our internal harness; good balance of opinion and flexibility.
Useful defaults in mcp:setup-serena-mcp — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
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