MCPInstall

repoprompt

Use RepoPrompt CLI for token-efficient codebase exploration

Installs
515
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Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/parcadei/continuous-claude-v3 --skill repoprompt
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads repoprompt automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

RepoPrompt Skill

When to Use

  • Explore codebase structure (tree, codemaps)
  • Search code with context lines
  • Get code signatures without full file content (token-efficient)
  • Read file slices (specific line ranges)
  • Build context for tasks

Token Optimization

RepoPrompt is more token-efficient than raw file reads:

  • structure → signatures only (not full content)
  • read --start-line --limit → slices instead of full files
  • search --context-lines → relevant matches with context

CLI Usage

# If installed to PATH (Settings → MCP Server → Install CLI to PATH)
rp-cli -e 'command'

# Or use the alias (configure in your shell)
repoprompt_cli -e 'command'

Commands Reference

File Tree

# Full tree
rp-cli -e 'tree'

# Folders only
rp-cli -e 'tree --mode folders'

# Selected files only
rp-cli -e 'tree --mode selected'

Code Structure (Codemaps) - TOKEN EFFICIENT

# Structure of specific paths
rp-cli -e 'structure src/auth/'

# Structure of selected files
rp-cli -e 'structure --scope selected'

# Limit results
rp-cli -e 'structure src/ --max-results 10'

Search

# Basic search
rp-cli -e 'search "pattern"'

# With context lines
rp-cli -e 'search "error" --context-lines 3'

# Filter by extension
rp-cli -e 'search "TODO" --extensions .ts,.tsx'

# Limit results
rp-cli -e 'search "function" --max-results 20'

Read Files - TOKEN EFFICIENT

# Full file
rp-cli -e 'read path/to/file.ts'

# Line range (slice)
rp-cli -e 'read path/to/file.ts --start-line 50 --limit 30'

# Last N lines (tail)
rp-cli -e 'read path/to/file.ts --start-line -20'

Selection Management

# Add files to selection
rp-cli -e 'select add src/auth/'

# Set selection (replace)
rp-cli -e 'select set src/api/ src/types/'

# Clear selection
rp-cli -e 'select clear'

# View current selection
rp-cli -e 'select get'

Workspace Context

# Get full context
rp-cli -e 'context'

# Specific includes
rp-cli -e 'context --include prompt,selection,tree'

Chain Commands

# Multiple operations
rp-cli -e 'select set src/auth/ && structure --scope selected && context'

Workspaces

# List workspaces
rp-cli -e 'workspace list'

# List tabs
rp-cli -e 'workspace tabs'

# Switch workspace
rp-cli -e 'workspace switch "ProjectName"'

AI Chat (uses RepoPrompt's models)

# Send to chat
rp-cli -e 'chat "How does the auth system work?"'

# Plan mode
rp-cli -e 'chat "Design a new feature" --mode plan'

Context Builder (AI-powered file selection)

# Auto-select relevant files for a task
rp-cli -e 'builder "implement user authentication"'

Workflow Shorthand Flags

# Quick operations without -e syntax
rp-cli --workspace MyProject --select-set src/ --export-context ~/out.md
rp-cli --chat "How does auth work?"
rp-cli --builder "implement user authentication"

Script Files (.rp)

For repeatable workflows, save commands to a script:

# daily-export.rp
workspace switch Frontend
select set src/components/
context --all > ~/exports/frontend.md

Run with:

rp-cli --exec-file ~/scripts/daily-export.rp

CLI Flags

FlagPurpose
-e 'cmd'Execute command(s)
-w <id>Target window ID
-qQuiet mode
-d <cmd>Detailed help for command
--wait-for-server 5Wait for connection (scripts)

Async Operations (tmux)

For long-running operations like builder, use the async script:

# Start context builder async
uv run python -m runtime.harness scripts/repoprompt_async.py \
    --action start --task "understand the auth system"

# With workspace switch
uv run python -m runtime.harness scripts/repoprompt_async.py \
    --action start --workspace "MyProject" --task "explore API patterns"

# Check status
uv run python -m runtime.harness scripts/repoprompt_async.py --action status

# Get result when done
uv run python -m runtime.harness scripts/repoprompt_async.py --action result

# Kill if needed
uv run python -m runtime.harness scripts/repoprompt_async.py --action kill

Note

Requires RepoPrompt app running with MCP Server enabled.

FAQ

What does the repoprompt skill do?

Use RepoPrompt CLI for token-efficient codebase exploration

How do I install repoprompt?

Run npx skills add https://github.com/parcadei/continuous-claude-v3 --skill repoprompt in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/repoprompt/ (personal) or .claude/skills/repoprompt/ (project).

Which AI agents can use repoprompt?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is repoprompt safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains repoprompt?

It is published by parcadei in parcadei/continuous-claude-v3. It has 515 recorded installs.

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