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grepai-search-boosting▌

yoanbernabeu/grepai-skills · updated Apr 8, 2026

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$npx skills add https://github.com/yoanbernabeu/grepai-skills --skill grepai-search-boosting
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summary

This skill covers configuring score boosting to prioritize relevant code paths and deprioritize tests, docs, and vendor code.

skill.md

GrepAI Search Boosting

This skill covers configuring score boosting to prioritize relevant code paths and deprioritize tests, docs, and vendor code.

When to Use This Skill

  • Prioritizing source code over tests
  • Penalizing vendor/third-party code
  • Boosting important directories
  • Customizing result ranking

What is Boosting?

Boosting modifies search scores based on file paths:

Original score: 0.85 (src/auth.go)
Bonus (+10%):   0.935

Original score: 0.85 (tests/auth_test.go)
Penalty (-50%): 0.425

This ensures production code ranks higher than tests with similar content.

Configuration

Basic Configuration

# .grepai/config.yaml
search:
  boost:
    enabled: true
    penalties:
      - pattern: /tests/
        factor: 0.5
    bonuses:
      - pattern: /src/
        factor: 1.1

Full Configuration

search:
  boost:
    enabled: true

    # Reduce scores (factor < 1.0)
    penalties:
      # Test files
      - pattern: /tests/
        factor: 0.5
      - pattern: /__tests__/
        factor: 0.5
      - pattern: _test.
        factor: 0.5
      - pattern: .spec.
        factor: 0.5
      - pattern: .test.
        factor: 0.5

      # Documentation
      - pattern: /docs/
        factor: 0.6
      - pattern: /documentation/
        factor: 0.6

      # Vendor/third-party
      - pattern: /vendor/
        factor: 0.3
      - pattern: /node_modules/
        factor: 0.3
      - pattern: /third_party/
        factor: 0.3

      # Generated code
      - pattern: /generated/
        factor: 0.4
      - pattern: .gen.
        factor: 0.4
      - pattern: .pb.go
        factor: 0.4

      # Examples and samples
      - pattern: /examples/
        factor: 0.7
      - pattern: /samples/
        factor: 0.7

    # Increase scores (factor > 1.0)
    bonuses:
      # Core source code
      - pattern: /src/
        factor: 1.1
      - pattern: /lib/
        factor: 1.1
      - pattern: /app/
        factor: 1.1
      - pattern: /core/
        factor: 1.2
      - pattern: /internal/
        factor: 1.1

      # Important directories
      - pattern: /services/
        factor: 1.1
      - pattern: /handlers/
        factor: 1.1
      - pattern: /controllers/
        factor: 1.1

How Factors Work

Factor Effect Use Case
0.3 70% reduction Strong penalty (vendor)
0.5 50% reduction Moderate penalty (tests)
0.7 30% reduction Mild penalty (examples)
1.0 No change Neutral
1.1 10% increase Mild boost (src)
1.2 20% increase Moderate boost (core)
1.5 50% increase Strong boost

Pattern Matching

Patterns match against the full file path:

/project/src/auth/middleware.go
         ^^^^
         Matches "/src/" pattern

Pattern Types

Pattern Matches Doesn't Match
/tests/ src/tests/auth.go tests.go
_test. auth_test.go test_auth.go
.spec. auth.spec.ts spec/auth.ts
/src/ project/src/main.go resource/file.go

Effect on Rankings

Without Boosting

Score: 0.85 | tests/auth_test.go:10-30
Score: 0.82 | src/auth/middleware.go:15-45
Score: 0.80 | src/auth/jwt.go:23-55

With Boosting

penalties:
  - pattern: /tests/
    factor: 0.5
bonuses:
  - pattern: /src/
    factor: 1.1

Score: 0.90 | src/auth/middleware.go:15-45  (0.82 × 1.1)
Score: 0.88 | src/auth/jwt.go:23-55        (0.80 × 1.1)
Score: 0.43 | tests/auth_test.go:10-30     (0.85 × 0.5)

Common Configurations

Standard (Recommended)

search:
  boost:
    enabled: true
    penalties:
      - pattern: /tests/
        factor: 0.5
      - pattern: _test.
        factor: 0.5
      - pattern: .spec.
        factor: 0.5
      - pattern: /vendor/
        factor: 0.3
      - pattern: /docs/
        factor: 0.6
    bonuses:
      - pattern: /src/
        factor: 1.1
      - pattern: /lib/
        factor: 1.1

Frontend Project

search:
  boost:
    enabled: true
    penalties:
      - pattern: /__tests__/
        factor: 0.5
      - pattern: .test.
        factor: 0.5
      - pattern: .spec.
        factor: 0.5
      - pattern: /node_modules/
        factor: 0.3
      - pattern: .stories.
        factor: 0.6
      - pattern: /storybook/
        factor: 0.6
    bonuses:
      - pattern: /src/
        factor: 1.1
      - pattern: /components/
        factor: 1.1
      - pattern: /hooks/
        factor: 1.1

Go Project

search:
  boost:
    enabled: true
    penalties:
      - pattern: _test.go
        factor: 0.5
      - pattern: _mock.go
        factor: 0.5
      - pattern: /testdata/
        factor: 0.5
      - pattern: /vendor/
how to use grepai-search-boosting

How to use grepai-search-boosting 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 grepai-search-boosting
2

Execute installation command

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

$npx skills add https://github.com/yoanbernabeu/grepai-skills --skill grepai-search-boosting

The skills CLI fetches grepai-search-boosting from GitHub repository yoanbernabeu/grepai-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/grepai-search-boosting

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

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

✓

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

✓

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

✓

Improve work quality by 30-40% with less effort

Implementation Guide▌

Prerequisites

  • ›Claude Desktop or compatible AI client with skill support
  • ›Clear understanding of task or problem to solve
  • ›Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate into regular workflow if valuable

Common Pitfalls

  • ⚠Expecting perfect results without iteration
  • ⚠Not providing enough context in prompts
  • ⚠Using skill for tasks outside its intended scope
  • ⚠Accepting outputs without review and validation

Best Practices▌

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • −Don't use without understanding skill limitations
  • −Don't skip validation of outputs
  • −Don't share sensitive information in prompts
  • −Don't expect skill to replace human judgment

💡 Pro Tips

  • ★Be specific about desired format and style
  • ★Ask for multiple options to choose from
  • ★Request explanations to understand reasoning
  • ★Combine AI efficiency with human expertise

When to Use This▌

✓ Use When

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid When

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path▌

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

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

Ratings

4.6★★★★★65 reviews
  • ★★★★★Yuki Okafor· Dec 16, 2024

    grepai-search-boosting is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • ★★★★★Isabella Jackson· Dec 8, 2024

    grepai-search-boosting is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • ★★★★★Ishan Thomas· Dec 4, 2024

    grepai-search-boosting reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • ★★★★★Isabella Gupta· Nov 27, 2024

    Keeps context tight: grepai-search-boosting is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • ★★★★★Mia Sethi· Nov 27, 2024

    Registry listing for grepai-search-boosting matched our evaluation — installs cleanly and behaves as described in the markdown.

  • ★★★★★Isabella Anderson· Nov 23, 2024

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

  • ★★★★★Sakshi Patil· Nov 15, 2024

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

  • ★★★★★Yuki Park· Nov 7, 2024

    Keeps context tight: grepai-search-boosting is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • ★★★★★Benjamin Liu· Nov 3, 2024

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

  • ★★★★★Sakura Mehta· Oct 26, 2024

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

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