lsp-onboard — Claude Code skill: what it does, how to install
lsp-onboard maps a new codebase through LSP and gives the agent a project profile with its build, tests, entry points, and structure.
npx skills add blackwell-systems/agent-lsp --skill lsp-onboard -a claude-codeWhat lsp-onboard does
Use lsp-onboard when an agent starts working in a project for the first time. It detects available languages and LSP servers, checks that indexing works, finds likely entry points, and samples source packages. It then runs the project build and tests, checks diagnostics, and keeps a structured profile in the session context.
The skill works through mcp__lsp__detect_lsp_servers, mcp__lsp__start_lsp, mcp__lsp__find_symbol, mcp__lsp__list_symbols, mcp__lsp__run_build, mcp__lsp__run_tests, mcp__lsp__blast_radius, and mcp__lsp__get_diagnostics. Exploration is capped at 10 packages and 5 hotspot files. If blast_radius is slow, the hotspot pass is skipped.
The profile covers languages, build and test results, entry points, package relationships, central files, diagnostics, and observed conventions. It stays in the conversation rather than being saved to disk. The agent-lsp MCP server is required, and symbol mapping needs documentSymbolProvider, so the skill will not run without that server.
What it helps with
- map an unfamiliar codebase
- locate entry points and key types
- identify build and test commands
- spot files with a large change impact
- record baseline errors and warnings
Example prompts for the agent
- Run
lsp-onboardfor the project at[workspace-root-path]and prepare its project profile. - Use
lsp-onboardon this new codebase to find its entry points, packages, build, and tests. - Run
lsp-onboardafter the build-system migration and update the project map.
How to install lsp-onboard
1Skills CLI (Vercel)
npx skills add blackwell-systems/agent-lsp --skill lsp-onboard -a claude-code2Manually: put the files in place
~/.claude/skills/lsp-onboard/SKILL.mdCopy the whole skill folder; for one project use .claude/skills/lsp-onboard/
1Skills CLI (Vercel)
npx skills add blackwell-systems/agent-lsp --skill lsp-onboard -a codex2Manually: put the files in place
.agents/skills/lsp-onboard/SKILL.mdFor all projects use ~/.agents/skills/
1Skills CLI (Vercel)
npx skills add blackwell-systems/agent-lsp --skill lsp-onboard -a cursor2Manually: put the files in place
.cursor/skills/lsp-onboard/SKILL.mdCursor also reads .agents/skills/ and .claude/skills/
1GitHub CLI
gh skill install blackwell-systems/agent-lsp lsp-onboard2Manually: put the files in place
.github/skills/lsp-onboard/SKILL.md1Skills CLI (Vercel)
npx skills add blackwell-systems/agent-lsp --skill lsp-onboard -a gemini-cli2Platform CLI
gemini skills install https://github.com/blackwell-systems/agent-lsp --path skills/lsp-onboardManually: put the files in place
.devin/skills/lsp-onboard/SKILL.mdThe legacy .windsurf/skills/ path still works
Skills CLI (Vercel)
npx skills add blackwell-systems/agent-lsp --skill lsp-onboard -a opencodeClaude.ai
Zip the folder and upload it in Settings → Capabilities → Skills
Step by step, with commands for each platform: How to install skills in Claude Code: five ways
Questions about lsp-onboard
How do I install lsp-onboard in Claude Code?
Run npx skills add blackwell-systems/agent-lsp --skill lsp-onboard -a claude-code, then use ~/.claude/skills/lsp-onboard/SKILL.md.
What does lsp-onboard do?
It explores a codebase through LSP, identifies languages, build and test setup, entry points, packages, and connected files. The agent receives the result as a project profile for the current session.
What does lsp-onboard need to work?
It requires the agent-lsp MCP server. Symbol analysis needs documentSymbolProvider; referencesProvider and callHierarchyProvider are optional capabilities.
Source text
SKILL.md · MIT
---
name: lsp-onboard
description: First-session project onboarding. Explores the project structure, detects build system, test runner, entry points, and key architecture patterns. Produces a structured project profile the agent can reference throughout the session.
argument-hint: "[workspace-root-path]"
user-invocable: true
allowed-tools: mcp__lsp__start_lsp mcp__lsp__detect_lsp_servers mcp__lsp__list_symbols mcp__lsp__find_symbol mcp__lsp__blast_radius mcp__lsp__run_build mcp__lsp__run_tests mcp__lsp__get_diagnostics mcp__lsp__get_editing_context
license: MIT
compatibility: Requires the agent-lsp MCP server (github.com/blackwell-systems/agent-lsp)
metadata:
required-capabilities: documentSymbolProvider
optional-capabilities: referencesProvider callHierarchyProvider
---
# lsp-onboard
First-session project onboarding. Run this when connecting to a new project
for the first time. Explores the codebase via LSP tools and produces a
structured project profile: languages, build system, test runner, entry
points, key types, and architecture patterns.
The profile helps the agent make better decisions throughout the session
without re-exploring the same ground. Run once per project; skip on
subsequent sessions unless the project structure has changed significantly.
## When to Use
- First time working in a new codebase
- After major structural changes (new packages, build system migration)
- When the agent seems confused about project conventions
Do NOT run this on every session. It's a one-time exploration.
---
## Step 1: Detect languages and servers
```
mcp__lsp__detect_lsp_servers({ "workspace_dir": "<root>" })
```
Record which languages are present and which servers are available.
This tells you what the project is built with.
## Step 2: Initialize and verify
```
mcp__lsp__start_lsp({ "root_dir": "<root>" })
```
Wait for initialization. Call `list_symbols` on one key file to verify
the workspace is indexed.
## Step 3: Identify entry points
Search for common entry point patterns:
```
mcp__lsp__find_symbol({ "query": "main" })
mcp__lsp__find_symbol({ "query": "Run" })
mcp__lsp__find_symbol({ "query": "Handler" })
```
Record entry points with their file paths. These are where execution starts.
## Step 4: Map the package structure
For each top-level directory that contains source files, call `list_symbols`
on one representative file:
```
mcp__lsp__list_symbols({ "file_path": "<dir>/main.go", "format": "outline" })
```
Build a mental map: which packages exist, what they export, how they relate.
Cap at 10 packages to avoid spending too long.
## Step 5: Detect build and test commands
```
mcp__lsp__run_build({ "workspace_dir": "<root>" })
mcp__lsp__run_tests({ "workspace_dir": "<root>" })
```
Record whether build and tests pass, and what language/toolchain was detected.
Note the test count and any failures.
## Step 6: Identify hotspots
Pick the 3-5 files that appear most central (entry points, shared types,
core logic). For each:
```
mcp__lsp__blast_radius({ "changed_files": ["<file>"] })
```
Files with the most non-test callers are the architectural hotspots.
Changes to these files have the widest blast radius.
## Step 7: Check for diagnostics
```
mcp__lsp__get_diagnostics({ "file_path": "<entry-point>" })
```
Note any pre-existing errors or warnings. This sets the baseline
so the agent knows what was broken before it started.
## Step 8: Produce the project profile
Write a structured summary:
```
## Project Profile: <name>
### Languages
- Go (primary), TypeScript (frontend)
### Build & Test
- Build: `go build ./...` (passes)
- Test: `go test ./...` (142 tests, 0 failures)
### Entry Points
- cmd/server/main.go:15 (main)
- cmd/worker/main.go:22 (main)
### Package Map
- cmd/server/ (HTTP server, routing)
- cmd/worker/ (background job processor)
- internal/api/ (handler layer)
- internal/store/ (database access)
- internal/types/ (shared type definitions)
### Hotspots (most referenced)
1. internal/types/models.go: 85 callers across 12 files
2. internal/store/queries.go: 42 callers across 8 files
3. internal/api/handlers.go: 31 callers across 6 files
### Pre-existing Issues
- 0 errors, 2 warnings (unused imports in test files)
### Conventions Observed
- Error wrapping with fmt.Errorf
- Table-driven tests
- Handler functions return (result, error)
```
This profile is for the agent's reference during the session. It does not
need to be saved to disk; it lives in the conversation context.
---
## Notes
- Cap exploration at 10 packages and 5 hotspot files to keep the
onboarding under 2 minutes
- If `blast_radius` is slow (large files), skip the hotspot step
and note "hotspot analysis skipped (large codebase)"
- The profile is advisory; update it mentally as you learn more during
the session
© blackwell-systems · MIT · blackwell-systems/agent-lsp