Skip to content
Data
Skill

/slm-graph

Index and query a codebase as a structural graph — build the code graph, trace blast radius of a change, find callers/callees/inheritors, semantic code search by meaning, assemble PR review context, and detect what changed since last index. Use when the user asks how code

From plugin
superlocalmemory
20636 skills4 agents1 command1 MCP
Install
$ npx -y skills add qualixar/superlocalmemory --skill slm-graph --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/slm-graph

Context preview

The summary Claude sees to decide when to auto-load this skill.

Index and query a codebase as a structural graph — build the code graph, trace blast radius of a change, find callers/callees/inheritors, semantic code search by meaning, assemble PR review context, and detect what changed since last index. Use when the user asks how code

SKILL.md

slm-graph.SKILL.md
name: slm-graph
description: >
  Index and query a codebase as a structural graph — build the code graph, trace blast radius of a
  change, find callers/callees/inheritors, semantic code search by meaning, assemble PR review
  context, and detect what changed since last index. Use when the user asks how code connects, what
  breaks if X changes, what calls a function, what a class inherits from, how to navigate an
  unfamiliar codebase, or to understand risk before editing.
when_to_use: |
  - what calls X
  - what breaks if I change Y
  - what does Z inherit from
  - find code that handles authentication
  - impact analysis before editing
  - code navigation in unfamiliar repos
  - blast radius before a PR
  - pre-commit change detection
allowed-tools: build_code_graph, query_graph, get_blast_radius, semantic_search_code, get_review_context, detect_changes, Bash

slm-graph — Code Intelligence Skill

Index any repo as a code knowledge graph and answer structural questions about it: callers, callees, impact radius, semantic search, and review context. Requires the `code` MCP profile (set `SLM_MCP_PROFILE=code` in your plugin `.mcp.json`).

**Prerequisite rule:** every tool except `build_code_graph` self-guards — if the graph is not built it returns `{"success": false, "error": "Code graph not built. Run build_code_graph first."}`. Always index first.

---

Tool Reference

1. `build_code_graph` — index a repository

build_code_graph(
    repo_path: str,
    languages: str = "",
    exclude_patterns: str = "",
) -> {success, files_parsed, nodes, edges, flows, communities, duration_ms}

Parses all supported source files, extracts functions/classes/imports, builds the call graph, detects execution flows, and identifies code communities. Replaces any previous index for the same repo.

  • `repo_path` — absolute path to the repository root. Must exist.
  • `languages` — comma-separated language filter, e.g. `"python,typescript"`. Empty string = index all supported languages.
  • `exclude_patterns` — comma-separated glob patterns to exclude, e.g. `"**/node_modules/**,**/.venv/**"`. Empty = no exclusions.

When to (re)build:

  • Before using any other graph tool for the first time on a repo.
  • After significant changes to the codebase (pull, merge, large refactor).
  • When `detect_changes` or `query_graph` returns stale/unexpected results.
  • Rebuild is safe and idempotent — it replaces the previous index atomically per file.
# Index the full repo
build_code_graph(repo_path="/abs/path/to/myrepo")

# Index only Python, skip tests and generated code
build_code_graph(
    repo_path="/abs/path/to/myrepo",
    languages="python",
    exclude_patterns="**/tests/**,**/generated/**"
)

---

2. `query_graph` — traverse relationships

query_graph(
    pattern: str,
    target: str = "",
    limit: int = 20,
) -> {success, pattern, target, results: [{qualified_name, kind, file_path, name}]}

Query the graph for structural relationships. `pattern` is required and must be one of the eight valid values below. `target` is a qualified name, partial name, or node ID — matched with exact-then-LIKE fallback.

Valid patterns:

| pattern | returns | |---|---| | `callers_of` | functions/methods that call `target` | | `callees_of` | functions/methods that `target` calls | | `imports_of` | modules/symbols that `target` imports | | `imported_by` | who imports `target` | | `tests_for` | test nodes associated with `target` | | `inherits_from` | base classes of `target` | | `inherited_by` | subclasses of `target` | | `contains` | symbols defined inside `target` (e.g. methods in a class) |

# Who calls the auth handler?
query_graph(pattern="callers_of", target="authenticate_user")

# What does the payment processor import?
query_graph(pattern="imports_of", target="PaymentProcessor", limit=30)

# What classes inherit from BaseModel?
query_graph(pattern="inherited_by", target="BaseModel")

---

3. `get_blast_radius` — impact analysis

get_blast_radius(
    changed_files: str,
    max_depth: int = 2,
    max_nodes: int = 500,
) -> {success, changed_nodes, impacted_nodes, impacted_files, edges, depth_reached, truncated}

Computes the full impact radius for one or more changed files using bidirectional BFS (callers and callees). Returns every node and file reachable within `max_depth` hops. Use this before editing to understand risk surface.

  • `changed_files` — comma-separated file paths relative to the repo root, e.g. `"src/auth/handler.py,src/auth/models.py"`.
  • `max_depth` — BFS depth. Default 2. Increase to 3–4 for deep call chains; lower to 1 for a quick first-degree check.
  • `max_nodes` — caps the result set. If `truncated=true` in the response, the real blast radius is larger.
# What breaks if I change the auth handler?
get_blast_radius(changed_files="src/auth/handler.py")

# Deeper analysis across two files
get_blast_radius(
    changed_files="src/payments/gateway.py,src/payments/models.py",
    max_depth=3,
    max_nodes=200
)

If `truncated` is `true`, narrow the scope with `max_nodes` or reduce `max_depth` to get a reliable result.

---

4. `semantic_search_code` — find code by meaning

semantic_search_code(
    query: str,
    kind: str = "",
    limit: int = 20,
) -> {success, results: [{qualified_name, kind, file_path, score, line_start, name}]}

Hybrid FTS5 + vector search over all indexed code entities. Use when you know what the code *does* but not what it's *called*.

  • `query` — natural language description, e.g. `"retry logic for HTTP requests"` or `"parse JWT token from header"`.
  • `kind` — optional filter: `"Function"`, `"Class"`, `"File"`, or `"Test"`. Empty = all kinds. Case-insensitive match in the engine.
  • `limit` — max results. Default 20.

Results include a `score` field (higher = more relevant).

# Find where authentication is handled
semantic_search_code(query="authenticate user from request token")

# Find only test fu
Read more
Ships withsuperlocalmemory

World's first local-only AI memory to break 74% retrieval and 60% zero-LLM on LoCoMo. No cloud, no APIs, no data leaves your machine. Additionally, mode C (LLM/Cloud) - 87.7% LoCoMo. Research-backed. arXiv: 2603.14588

Get the whole plugin

Other skills on superlocalmemory.