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context-discovery

Discover context using MCP tools — fff, sem, ctx, qmd, codebase-memory-mcp for codebase understanding

Skill by andeerc

IndexedMIT
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/andeerc-context-discovery

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About

Discover context using MCP tools — fff, sem, ctx, qmd, codebase-memory-mcp for codebase understanding

Use cases: agent-building

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Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

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Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/context-discovery

What's inside

Skill name
context-discovery
Description
Discover context using MCP tools — fff, sem, ctx, qmd, codebase-memory-mcp for codebase understanding
License
MIT
Compatibility
cline, claude, opencode, amp, codex, gemini, cursor, pi
Instructions
125 lines in SKILL.md · view on GitHub

Files (1)

  • SKILL.md

SKILL.md (first lines)

# Context Discovery

## When to Use

Use this skill **before and during implementation** when:
- Starting work on an unfamiliar module or feature
- The task involves multiple files or systems
- You need to understand existing patterns before coding
- Previous decisions or discussions may be relevant
- You want to avoid duplicating existing functionality

## What It Does

Leverages available MCP tools to proactively discover context about the codebase, existing patterns, decisions, and related work. Instead of relying solely on grep/read cycles, it uses purpose-built discovery tools.

## Discovery Workflow

### Step 1: File Discovery

Find the relevant files using `fff`:

```
fff auth                        # Find auth-related files
fff "*order*"                   # Find order-related files by pattern
fff config                      # Find config files
```

Scan the results to identify the module structure. `fff` returns frecency-ranked results — the files you access most appear first.

### Step 2: Pattern Discovery via `sem`

Once you know the relevant files, use `sem` to understand the code's history and structure:

```
sem blame path/to/file.ts        # See who changed each line and when
sem diff main..HEAD -- path/     # See what changed in this area
sem summary path/to/             # Get a summary of the module
```

`sem` provides entity-level diffs (function-level, not just file-level), making it easier to understand what actually changed.

### Step 3: Historical Context via `ctx`

Search past agent sessions for relevant context:

```
ctx search "auth implementation patterns"   # Past work on auth
ctx search "this module" path/to/module/    # Past discussions about this area
ctx search "decision" "why did we" path/    # Past decision-making
```

`ctx` indexes agent sessions, so you can find past discussions, decisions, and patterns the agent has already encountered.

### Step 4: Project Knowledge via `qmd`

Query durable project knowledge:

```
qmd query "What architecture decisions exist for X?"
qmd search "authentication patterns"
qmd get ADR-001        # Get a specific ADR
```

`qmd` stores project learnings, ADRs, conventions, and gotchas that persist across sessions.

### Step 5: Code Structure via `codebase-memory-mcp`

For large codebases, use the code graph to understand structure:

```
search_graph("OrderHandler")              # Find the function/class
trace_path("OrderHandler", calls)         # What does it call?
trace_path("OrderHandler", callers)       # What calls it?
get_code_snippet("package.OrderHandler")  # Read the source
get_architecture()                         # Project overview
```

### Step 6: External Context via `context7`

Look up documentation for libraries and frameworks:

```
context7 "express.js middleware API reference"
context7 "react useEffect cleanup pattern"
```

## Decision Tree

```
Where to look depends on what you need:
┌─────────────────────────────┬─────────────────┐
│ Need this                    │ Use this tool    │
├─────────────────────────────┼─────────────────┤
│ Find files by name/pattern  │ fff              │
│ Find what changed recently  │ sem diff         │
│ Find past agent discussions │ ctx search       │
│ Find ADRs / project memory  │ qmd query        │
│ Understand code structure   │ codebase-memory  │
│ Look up external docs       │ context7         │
│ Find related PRs            │ github MCP       │
└─────────────────────────────┴─────────────────┘
```

## When Not to Use Context Discovery

- **Simple tasks**: For well-known code, grep + read is faster
- **Already familiar**: If you know the codebase well, skip steps
- **External APIs**: Use `context7` or web search instead
- **Configuration-only changes**: Straightforward edits don't need deep context

## Integration with Other Skills

- Use after `/blindspots` to investigate surfaced unknowns
- Use before `implementation-logger` to establish baseline understanding
- Results from context discovery feed into implementation decisions
- Document surprising finds in implementation log

## Tips

From andeerc/Oh-My-Portable-OpenCode, MIT.

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Last commit (this folder)
Jul 30, 2026 (3 months ago)
Last release
Jul 30, 2026 (3 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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Cite this page

context-discovery skill. Agent Mart. https://agentmart.dev/skills/andeerc-context-discovery (last updated 2026-10-24)