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mgrep-code-search▌

intellectronica/agent-skills · updated Apr 8, 2026

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$npx skills add https://github.com/intellectronica/agent-skills --skill mgrep-code-search
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summary

mgrep is a semantic search tool that enables natural language queries across code, text, PDFs, and images. It is particularly effective for exploring larger or complex codebases where traditional pattern matching falls short.

skill.md

mgrep Code Search

Overview

mgrep is a semantic search tool that enables natural language queries across code, text, PDFs, and images. It is particularly effective for exploring larger or complex codebases where traditional pattern matching falls short.

When to Use This Skill

Use mgrep when:

  • The codebase contains more than 30 non-gitignored files
  • There are nested directory structures
  • Searching for concepts, features, or intent rather than exact strings
  • Exploring an unfamiliar codebase
  • Need to understand "where" or "how" something is implemented

Use traditional grep/ripgrep when:

  • Searching for exact patterns or symbols
  • Regex-based refactoring
  • Tracing specific function or variable names

Quick Start

Indexing

Before searching, start the watcher to index the repository:

bunx @mixedbread/mgrep watch

The watch command indexes the repository and maintains synchronisation with file changes. It respects .gitignore and .mgrepignore patterns.

Searching

bunx @mixedbread/mgrep "your natural language query" [path]

Search Commands

Basic Search

bunx @mixedbread/mgrep "where is authentication configured?"
bunx @mixedbread/mgrep "how do we handle errors in API calls?" src/
bunx @mixedbread/mgrep "database connection setup" src/lib

Search Options

Option Description
-m <count> Maximum results (default: 10)
-c, --content Display full result content
-a, --answer Generate AI-powered synthesis of results
-s, --sync Update index before searching
--no-rerank Disable relevance optimisation

Examples with Options

# Get more results
bunx @mixedbread/mgrep -m 25 "user authentication flow"

# Show full content of matches
bunx @mixedbread/mgrep -c "error handling patterns"

# Get an AI-synthesised answer
bunx @mixedbread/mgrep -a "how does the caching layer work?"

# Sync index before searching
bunx @mixedbread/mgrep -s "payment processing" src/services

Workflow

  1. Start watcher (once per session or when files change significantly):

    bunx @mixedbread/mgrep watch

  2. Search semantically:

    bunx @mixedbread/mgrep "what you're looking for" [optional/path]

  3. Refine as needed using path constraints or options:

    bunx @mixedbread/mgrep -m 20 -c "refined query" src/specific/directory

Environment Variables

Configure defaults via environment variables:

Variable Purpose
MGREP_MAX_COUNT Default result limit
MGREP_CONTENT Enable content display (1/true)
MGREP_ANSWER Enable AI synthesis (1/true)
MGREP_SYNC Pre-search sync (1/true)

Important Notes

  • Always use bunx @mixedbread/mgrep to run commands (not npm/npx or direct installation)
  • Run bunx @mixedbread/mgrep watch before searching to ensure the index is current
  • mgrep respects .gitignore patterns automatically
  • Create .mgrepignore for additional exclusions
how to use mgrep-code-search

How to use mgrep-code-search 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 mgrep-code-search
2

Execute installation command

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

$npx skills add https://github.com/intellectronica/agent-skills --skill mgrep-code-search

The skills CLI fetches mgrep-code-search from GitHub repository intellectronica/agent-skills 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/mgrep-code-search

Reload or restart Cursor to activate mgrep-code-search. Access the skill through slash commands (e.g., /mgrep-code-search) 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.

Additional Resources

›View source code on GitHub›Skills CLI documentation›Learn more about Cursor›What are agent skills?

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)
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general reviews

Ratings

4.6★★★★★39 reviews
  • ★★★★★Maya Torres· Dec 24, 2024

    I recommend mgrep-code-search for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • ★★★★★Maya Rao· Dec 8, 2024

    mgrep-code-search has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • ★★★★★Maya Johnson· Nov 27, 2024

    Useful defaults in mgrep-code-search — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • ★★★★★Noah Flores· Nov 23, 2024

    We added mgrep-code-search from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • ★★★★★Rahul Santra· Nov 19, 2024

    We added mgrep-code-search from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • ★★★★★Maya Mehta· Nov 15, 2024

    Solid pick for teams standardizing on skills: mgrep-code-search is focused, and the summary matches what you get after install.

  • ★★★★★Hana Brown· Oct 18, 2024

    I recommend mgrep-code-search for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • ★★★★★Harper Sethi· Oct 14, 2024

    mgrep-code-search fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • ★★★★★Pratham Ware· Oct 10, 2024

    mgrep-code-search fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • ★★★★★Maya Smith· Oct 6, 2024

    mgrep-code-search has been reliable in day-to-day use. Documentation quality is above average for community skills.

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