ccc▌
cocoindex-io/cocoindex-code · updated May 18, 2026
MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.
ccc is the CLI for CocoIndex Code, providing semantic search over the current codebase and index management.
ccc - Semantic Code Search & Indexing
ccc is the CLI for CocoIndex Code, providing semantic search over the current codebase and index management.
Ownership
The agent owns the ccc lifecycle for the current project — initialization, indexing, and searching. Do not ask the user to perform these steps; handle them automatically.
- Initialization: If
ccc searchorccc indexfails with an initialization error (e.g., "Not in an initialized project directory"), runccc initfrom the project root directory, thenccc indexto build the index, then retry the original command. - Index freshness: Keep the index up to date by running
ccc index(orccc search --refresh) when the index may be stale — e.g., at the start of a session, or after making significant code changes (new files, refactors, renamed modules). There is no need to re-index between consecutive searches if no code was changed in between. - Installation: If
cccitself is not found (command not found), refer to management.md for installation instructions and inform the user.
Searching the Codebase
To perform a semantic search:
ccc search <query terms>
The query should describe the concept, functionality, or behavior to find, not exact code syntax. For example:
ccc search database connection pooling
ccc search user authentication flow
ccc search error handling retry logic
Filtering Results
-
By language (
--lang, repeatable): restrict results to specific languages.ccc search --lang python --lang markdown database schema -
By path (
--path): restrict results to a glob pattern relative to project root. If omitted, defaults to the current working directory (only results under that subdirectory are returned).ccc search --path 'src/api/*' request validation
Pagination
Results default to the first page. To retrieve additional results:
ccc search --offset 5 --limit 5 database schema
If all returned results look relevant, use --offset to fetch the next page — there are likely more useful matches beyond the first page.
Working with Search Results
Search results include file paths and line ranges. To explore a result in more detail:
- Use the editor's built-in file reading capabilities (e.g., the
Readtool) to load the matched file and read lines around the returned range for full context. - When working in a terminal without a file-reading tool, use
sed -n '<start>,<end>p' <file>to extract a specific line range.
Settings
To view or edit embedding model configuration, include/exclude patterns, or language overrides, see settings.md.
Management & Troubleshooting
For installation, initialization, daemon management, troubleshooting, and cleanup commands, see management.md.
How to use ccc on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add ccc
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches ccc from GitHub repository cocoindex-io/cocoindex-code and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate ccc. Access the skill through slash commands (e.g., /ccc) or your agent's skill management interface.
Security & Verification Notice
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 development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
User Story & Requirements Generation
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
Competitive Analysis
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
Roadmap Prioritization
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
Make data-driven prioritization decisions faster
Stakeholder Communication
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
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client
- ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
- ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
- ›Stakeholder contact information and communication channels
Time Estimate
30-60 minutes to see productivity improvements
Installation Steps
- 1.Install product management skill
- 2.Start with user story generation for known feature
- 3.Progress to competitive analysis: research 2-3 competitors
- 4.Use for roadmap prioritization: apply RICE/ICE scoring
- 5.Draft stakeholder communications and refine based on feedback
- 6.Build template library for recurring PM tasks
- 7.Share effective prompts with product team
Common Pitfalls
- ⚠Not validating competitive research—verify facts before sharing
- ⚠Accepting user stories without involving engineering team
- ⚠Over-relying on frameworks without qualitative judgment
- ⚠Not customizing outputs to company culture and communication style
- ⚠Skipping stakeholder validation of generated requirements
Best Practices▌
✓ Do
- +Validate research and competitive analysis with real data
- +Collaborate with engineering when generating technical requirements
- +Customize frameworks and templates to your company context
- +Use skill for first drafts, refine with stakeholder input
- +Document successful prompt patterns for PM tasks
- +Combine AI efficiency with human judgment and intuition
✗ Don't
- −Don't publish competitive analysis without fact-checking
- −Don't finalize user stories without engineering review
- −Don't make prioritization decisions solely on AI scoring
- −Don't skip customer validation of generated requirements
- −Don't ignore company-specific context and culture
💡 Pro Tips
- ★Provide context: company goals, constraints, customer feedback
- ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
- ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
- ★Use skill for 70% generation + 30% customization to company needs
When to Use This▌
✓ 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.
Learning Path▌
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.7★★★★★49 reviews- ★★★★★Hana Thompson· Dec 24, 2024
Keeps context tight: ccc is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Amelia Wang· Dec 12, 2024
We added ccc from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Ganesh Mohane· Dec 8, 2024
ccc fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Ama Rao· Dec 8, 2024
Useful defaults in ccc — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Sakshi Patil· Nov 27, 2024
Registry listing for ccc matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Kwame Martin· Nov 27, 2024
ccc is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Kwame Gill· Nov 23, 2024
Solid pick for teams standardizing on skills: ccc is focused, and the summary matches what you get after install.
- ★★★★★Arjun Lopez· Nov 15, 2024
I recommend ccc for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Yusuf Haddad· Nov 3, 2024
ccc reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Fatima Malhotra· Oct 22, 2024
Registry listing for ccc matched our evaluation — installs cleanly and behaves as described in the markdown.
showing 1-10 of 49