// Simple operations on user-provided text files including summarization.
Delegate coding tasks to Codex, Claude Code, or Pi agents via background host sessions. Use when: (1) building or creating new features or apps, (2) reviewing PRs or parallel coding with managed worktree isolation when subagents are available, (3) refactoring large codebases, (4) iterative coding that needs file exploration. NOT for: simple one-liner fixes (just edit), reading code (use read tool), thread-bound ACP harness requests in chat, or any work in ~/clawd workspace (never spawn agents here). Requires OpenClaw host tools with exec_command plus write_stdin.
Fetch GitHub issues, spawn sub-agents to implement fixes and open PRs, then monitor and address PR review comments. Usage: /gh-issues [owner/repo] [--label bug] [--limit 5] [--milestone v1.0] [--assignee @me] [--fork user/repo] [--watch] [--interval 5] [--reviews-only] [--cron] [--dry-run] [--model glm-5] [--notify-channel -1002381931352]
Use the mcporter CLI to list, configure, auth, and call MCP servers/tools directly (HTTP or stdio), including ad-hoc servers, config edits, CLI/type generation, and MCP-backed skills that need a durable command path.
Create or update AgentSkills, especially when a user wants the agent to learn a reusable capability, workflow, integration, domain rule, team process, or tool usage pattern for future tasks. Use when designing, structuring, reviewing, validating, packaging, or improving skills with SKILL.md, scripts, references, and assets.
Connect to a remote streamable HTTP MCP service that exposes announcements and FAQ tools.
Find a public Agent Skill on GitHub, install it, and load it.
| name | user-file-ops |
| description | Simple operations on user-provided text files including summarization. |
Overview
Summarize text files that come from the user or from other skills. This skill can compute basic statistics (lines, words, bytes) and capture a short preview of the file.
User-provided files are typically exposed under work/inputs/ (for
example, when a host directory is mounted as inputs, or when the user
uploads a file into the conversation and the framework stages it into
the workspace before scripts run). Files produced by other skills are
usually written under out/ and can be summarized directly from
there.
Examples
Summarize a text file already present in the workspace
Command:
bash scripts/summarize_file.sh
work/inputs/example.txt
out/example_summary.txt
Summarize a different file
Command:
bash scripts/summarize_file.sh
work/inputs/notes.txt
out/notes_summary.txt
Summarize a file produced by another skill
Command:
bash scripts/summarize_file.sh
out/sample_fib.txt
out/sample_fib_summary.txt
Output Files