Tool Discovery (The Librarian)

Access the "RLM Index" (Recursive Learning Model) to discover and bind specialized scripts on-demand. You do not have all tools loaded by default; you must **search** for them and **bind** their usage instructions before execution.

🚫 Constraints (The "Electric Fence")

1. **DO NOT** search the filesystem manually using `grep` or `find` - you will time out

2. **DO NOT** use `manage_tool_inventory.py` directly

3. **ALWAYS** use `query_cache.py` for tool discovery

⚡ When to Use This Skill

Activate this skill when you encounter phrases like:

Step-by-Step Instructions

Step 1: Search for Tools

**Goal**: Find a tool relevant to your current objective using the RLM cache.

**Search Strategy**: The search engine prefers simple, direct keywords.

✅ **Good examples**: "dependency", "graph", "audit", "scan"

❌ **Bad examples**: "how do I trace dependencies for this form"

**Command**:

```bash

python tools/retrieve/rlm/query_cache.py --type tool "KEYWORD"

```

**Expected Output**: List of matching tool paths and brief descriptions.

Step 2: Retrieve & Bind (Late-Binding)

**Goal**: Load the authoritative usage contract for the tool found in Step 1.

**Strategy**: The `rlm_tool_cache` gives you the *path*, but the *official manual* is in the script header docstring.

**Command**:

```bash

Read the script header (first ~200 lines contain the full manual)

view_file(AbsolutePath="/path/to/found/script.py", StartLine=1, EndLine=200)

```

**CRITICAL**: The script header docstring is the **Official Manual**. Treat it as a temporary extension of your system prompt:

Step 3: Execute (Trust & Run)

**Goal**: Run the tool using knowledge gained in Step 2.

**Decision Logic**:

**Scenario A - Clear Manual**: If Step 2 provided clear usage examples (e.g., `python script.py -flag value`):

**Scenario B - Ambiguous Manual**: If Step 2 output was empty or confusing:

```bash

python [PATH_TO_TOOL] --help

```

Then proceed with execution based on help output.

Example Workflow

```bash

1. Search for a dependency analysis tool

python tools/retrieve/rlm/query_cache.py --type tool "dependency"

2. Bind the tool by reading its header

view_file(AbsolutePath="/tools/analyze/dependency_graph.py", StartLine=1, EndLine=200)

3. Execute based on the manual

python /tools/analyze/dependency_graph.py --input src/ --output deps.json --format json

```

Important Notes