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cocoindex-io/cocoindex-code · updated May 18, 2026

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$npx skills add https://github.com/cocoindex-io/cocoindex-code --skill ccc
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summary

ccc is the CLI for CocoIndex Code, providing semantic search over the current codebase and index management.

skill.md

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 search or ccc index fails with an initialization error (e.g., "Not in an initialized project directory"), run ccc init from the project root directory, then ccc index to build the index, then retry the original command.
  • Index freshness: Keep the index up to date by running ccc index (or ccc 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 ccc itself 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 Read tool) 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

How to use ccc on Cursor

AI-first code editor with Composer

1

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
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/cocoindex-io/cocoindex-code --skill ccc

The skills CLI fetches ccc from GitHub repository cocoindex-io/cocoindex-code and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/ccc

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

GET_STARTED →

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. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 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

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.749 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.

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