lsp-code-analysis

lsp-client/lsp-skill · updated Apr 8, 2026

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$npx skills add https://github.com/lsp-client/lsp-skill --skill lsp-code-analysis
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To use this skill, you MUST follow these steps:

skill.md

LSP Code Analysis

IMPORTANT: PREREQUISITE

To use this skill, you MUST follow these steps:

  1. Check for updates: Run the update script to ensure you are using the latest version of the tool.
  2. Verify project support: Run lsp server start <project_path> to start the LSP server and confirm the project is supported.

IF YOU DO NOT PERFORM THESE STEPS, YOU ARE NOT ALLOWED TO USE THIS SKILL.

Abstract

This document specifies the operational requirements and best practices for the lsp-code-analysis skill. It provides a semantic interface to codebase navigation, analysis and refactoring via the Language Server Protocol (LSP).

Overview

You are provided with lsp CLI tool for semantic code navigation and analysis. It SHOULD be preferred over read or grep for most code understanding tasks.

Usages:

  • Semantic navigation: Jump to definitions, find references, locate implementations - understands code structure, not just text patterns.
  • Language-aware: Distinguishes between variables, functions, classes, types - eliminates false positives from text search.
  • Cross-file intelligence: Trace dependencies, refactor safely across entire codebase - knows what imports what.
  • Type-aware: Get precise type information, signatures, documentation - without reading implementation code.

Tool Selection

Guideline: You SHOULD prioritize LSP commands for code navigation and analysis. Agents MAY use read or grep ONLY when semantic analysis is not applicable (e.g., searching for comments or literal strings).

Task Traditional Tool Recommended LSP Command
Find Definition grep, read definition
Find Usages grep -r reference
Understand File read outline
View Docs/Types read doc
Refactor sed See Refactoring Guide

Commands

All commands support -h or --help.

Locating Symbols

Most commands use a unified locating syntax via the --scope and --find options.

Arguments: <file_path>

Options:

  • --scope: Narrow search to a symbol body or line range.
  • --find: Text pattern to find within the scope.

Scope Formats:

  • <line>: Single line number (e.g., 42).
  • <start>,<end>: Line range (e.g., 10,20). Use 0 for end to mean till EOF (e.g., 10,0).
  • <symbol_path>: Symbol path with dots (e.g., MyClass.my_method).

Find Pattern (--find):

The --find option narrows the target to a text pattern within the selected scope:

  • The scope is determined by --scope (line/range/symbol). If no --scope is given, the entire file is the scope.
  • Pattern matching is whitespace-insensitive: differences in spaces, tabs, and newlines are ignored.
  • You MAY include the cursor marker <|> inside the pattern to specify the exact position of interest within the match (for example, on a variable name, keyword, or operator).
  • If --find is omitted, the command uses the start of the scope (or a tool-specific default) as the navigation target.

Cursor Marker (<|>):

The <|> marker indicates the exact position for symbol resolution. It represents the character immediately to its right. Use it within the find pattern to point to a specific element (e.g., user.<|>name to target the name property).

Examples:

  • lsp doc foo.py --find "self.<|>" - Find self. in entire file, position at the character after the dot (typically for completion or member access)
  • lsp doc foo.py --scope 42 --find "return <|>result" - Find return result on line 42, position at r of result
  • lsp doc foo.py --scope 10,20 --find "if <|>condition" - Find if condition in lines 10-20, position at c of condition
  • lsp doc foo.py --scope MyClass.my_method --find "self.<|>" - Find self. within MyClass.my_method, position after the dot
  • lsp doc foo.py --scope MyClass - Target the MyClass symbol directly

Guideline for Scope vs. Find:

  • Use --scope <symbol_path> (e.g., --scope MyClass, --scope MyClass.my_method) to target classes, functions, or methods. This is the most robust and preferred way to target symbol.
  • Use --find (often combined with --scope) to target variables or specific positions. Use this when the target is not a uniquely named symbol or when you need to pinpoint a specific usage within a code block.

Agents MAY use lsp locate <file_path> --scope <scope> --find <find> to verify if the target exists in the file and view its context before running other commands.

# Verify location exists
lsp locate main.py --scope 42 --find "<|>process_data"

Pagination

Use pagination for large result sets like reference or search.

  • --pagination-id <ID>: (Required) Unique session ID for consistent paging.
  • --max-items <N>: Page size.
  • --start-index <N>: Offset (0-based).

Example:

# Page 1
lsp search "User" --max-items 20 --pagination-id "task_123"

# Page 2
lsp search "User" --max-items 20 --start-index 20 --pagination-id "task_123"

Guideline: Use pagination with a unique ID for common symbols to fetch results in manageable chunks. Increment --start-index using the same ID to browse.

Outline: File Structure

Get hierarchical symbol structure without reading implementation.

# Get main symbols (classes, functions, methods)
lsp outline <file_path>

# Get all symbols including variables and parameters
lsp outline <file_path> --all

Agents SHOULD use outline before reading files to avoid unnecessary context consumption.

Definition: Navigate to Source

Navigate to where symbols are defined.

# Jump to where User.get_id is defined
lsp definition models.py --scope User.get_id

# Find where an imported variable comes from
lsp definition main.py --scope 42 --find "<|>config"

# Find declaration (e.g., header files, interface declarations)
lsp definition models.py --scope 25 --mode declaration --find "<|>provider"

# Find the class definition of a variable's type
lsp definition models.py --scope 30 --find "<|>user" --mode type_definition

Reference: Find All Usages

Find where symbols are used or implemented.

# Find all places where logger is referenced
lsp reference main.py --scope MyClass.run --find "<|>logger"

# Find all concrete implementations of an interface/abstract class
lsp reference api.py --scope "IDataProvider" --mode implementations

# Get more surrounding code context for each reference
lsp reference app.py --scope 10 --find "<|>my_var" --context-lines 5

# Limit results for large codebases
lsp reference utils.py --find "<|>helper" --max-items 50 --start-index 0

Doc: Get Documentation

Get documentation and type information without navigating to source.

# Get docstring and type info for symbol at line 42
lsp doc main.py --scope 42

# Get API documentation for process_data function
lsp doc models.py --scope process_data

Agents SHOULD prefer doc over read when only documentation or type information is needed.

Search: Global Symbol Search

Search for symbols across the workspace when location is unknown.

# Search by name (defaults to current directory)
lsp search "MyClassName"

# Search in specific project
lsp search "UserModel" --project /path/to/project

# Filter by symbol kind (can specify multiple times)
lsp search "init" --kinds function --kinds method

# Limit and paginate results for large codebases
lsp search "Config" --max-items 10
lsp search "User" --max-items 20 --start-index 0

Agents SHOULD use --kinds to filter results and reduce noise.

Symbol: Get Complete Symbol Code

Get the full source code of the symbol containing a location.

# Get complete code of the function/class at line 15
lsp symbol main.py --scope 15

# Get full UserClass implementation
lsp symbol utils.py --scope UserClass

# Get complete method implementation
lsp symbol models.py --scope User.validate

Response includes: symbol name, kind (class/function/method), range, and complete source code.

Agents SHOULD use symbol to read targeted code blocks instead of using read on entire files.

Refactoring Operations

Read Refactoring Guide for rename, extract, and other safe refactoring operations.

Server: Manage Background Servers

The background manager starts automatically. Manual control is OPTIONAL.

# List running servers
lsp server list

# Start server for a project
lsp server start <path>

# Stop server for a project
lsp server stop <path>

# Shutdown the background manager
lsp server shutdown

Best Practices

General Workflows

Understanding Unfamiliar Code

The RECOMMENDED sequence for exploring new codebases:

# Step 1: Start with outline - Get file structure without reading implementation
lsp outline <file_path>

# Step 2: Inspect signatures - Use doc to understand API contracts
lsp doc <file_path> --scope <symbol_name>

# Step 3: Navigate dependencies - Follow definition chains
lsp definition <file_path> --scope <symbol_name>

# Step 4: Map usage - Find where code is called with reference
lsp reference <file_path> --scope <symbol_name>

Debugging Unknown Behavior

# Step 1: Locate symbol definition workspace-wide
lsp search "<symbol_name>"

# Step 2: Verify implementation details
lsp definition <file_path> --scope <symbol_name>

# Step 3: Trace all callers to understand invocation context
lsp reference <file_path> --scope <symbol_name>

Finding Interface Implementations

# Step 1: Locate interface definition
lsp search "IUserService" --kinds interface

# Step 2: Find all implementations
lsp reference src/interfaces.py --scope IUserService --mode implementations

Tracing Data Flow

# Step 1: Find where data is created
lsp search UserDTO --kinds class

# Step 2: Find where it's used
lsp reference models.py --scope UserDTO

# Step 3: Check transformations
lsp doc transform.py --scope map_to_dto

Understanding Type Hierarchies

# Step 1: Get class outline
lsp outline models.py

# Step 2: Find subclasses (references to base)
lsp reference models.py --scope BaseModel

# Step 3: Check type definitions
lsp definition models.py --scope BaseModel --mode type_definition

Performance Tips

# Use outline instead of reading entire files
lsp outline large_file.py  # Better than: read large_file.py

# Use symbol paths for nested structures (more precise than line numbers)
lsp definition models.py 
how to use lsp-code-analysis

How to use lsp-code-analysis 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 lsp-code-analysis
2

Execute installation command

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

$npx skills add https://github.com/lsp-client/lsp-skill --skill lsp-code-analysis

The skills CLI fetches lsp-code-analysis from GitHub repository lsp-client/lsp-skill 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/lsp-code-analysis

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

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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

4.837 reviews
  • Ira Harris· Dec 28, 2024

    lsp-code-analysis reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Nia Sethi· Dec 20, 2024

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

  • Emma White· Dec 4, 2024

    Keeps context tight: lsp-code-analysis is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Hassan Bansal· Nov 27, 2024

    lsp-code-analysis is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Ama Sanchez· Nov 23, 2024

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

  • Ishan Martinez· Nov 19, 2024

    Registry listing for lsp-code-analysis matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Aanya Sethi· Nov 11, 2024

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

  • Ama Ramirez· Oct 18, 2024

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

  • Ira Martin· Oct 14, 2024

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

  • Emma Anderson· Oct 10, 2024

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

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