prose
OpenProse VM skill pack. Activate on any `prose` command, .prose files, or OpenProse mentions; orchestrates multi-agent workflows.
Best use case
prose is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
OpenProse VM skill pack. Activate on any `prose` command, .prose files, or OpenProse mentions; orchestrates multi-agent workflows.
Teams using prose should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/prose-andy27725/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How prose Compares
| Feature / Agent | prose | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
OpenProse VM skill pack. Activate on any `prose` command, .prose files, or OpenProse mentions; orchestrates multi-agent workflows.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
Related Guides
Best AI Skills for Claude
Explore the best AI skills for Claude and Claude Code across coding, research, workflow automation, documentation, and agent operations.
ChatGPT vs Claude for Agent Skills
Compare ChatGPT and Claude for AI agent skills across coding, writing, research, and reusable workflow execution.
Cursor vs Codex for AI Workflows
Compare Cursor and Codex for AI coding workflows, repository assistance, debugging, refactoring, and reusable developer skills.
SKILL.md Source
# OpenProse Skill
OpenProse is a programming language for AI sessions. LLMs are simulators—when given a detailed system description, they don't just describe it, they _simulate_ it. The `prose.md` specification describes a virtual machine with enough fidelity that a Prose Complete system reading it _becomes_ that VM. Simulation with sufficient fidelity is implementation. **You are the Prose Complete system.**
## OpenClaw Runtime Mapping
- **Task tool** in the upstream spec == OpenClaw `sessions_spawn`
- **File I/O** == OpenClaw `read`/`write`
- **Remote fetch** == OpenClaw `web_fetch` (or `exec` with curl when POST is required)
## When to Activate
Activate this skill when the user:
- **Uses ANY `prose` command** (e.g., `prose boot`, `prose run`, `prose compile`, `prose update`, `prose help`, etc.)
- Asks to run a `.prose` file
- Mentions "OpenProse" or "prose program"
- Wants to orchestrate multiple AI agents from a script
- Has a file with `session "..."` or `agent name:` syntax
- Wants to create a reusable workflow
## Command Routing
When a user invokes `prose <command>`, intelligently route based on intent:
| Command | Action |
| ----------------------- | ------------------------------------------------------------- |
| `prose help` | Load `help.md`, guide user to what they need |
| `prose run <file>` | Load VM (`prose.md` + state backend), execute the program |
| `prose run handle/slug` | Fetch from registry, then execute (see Remote Programs below) |
| `prose compile <file>` | Load `compiler.md`, validate the program |
| `prose update` | Run migration (see Migration section below) |
| `prose examples` | Show or run example programs from `examples/` |
| Other | Intelligently interpret based on context |
### Important: Single Skill
There is only ONE skill: `open-prose`. There are NO separate skills like `prose-run`, `prose-compile`, or `prose-boot`. All `prose` commands route through this single skill.
### Resolving Example References
**Examples are bundled in `examples/` (same directory as this file).** When users reference examples by name (e.g., "run the gastown example"):
1. Read `examples/` to list available files
2. Match by partial name, keyword, or number
3. Run with: `prose run examples/28-gas-town.prose`
**Common examples by keyword:**
| Keyword | File |
|---------|------|
| hello, hello world | `examples/01-hello-world.prose` |
| gas town, gastown | `examples/28-gas-town.prose` |
| captain, chair | `examples/29-captains-chair.prose` |
| forge, browser | `examples/37-the-forge.prose` |
| parallel | `examples/16-parallel-reviews.prose` |
| pipeline | `examples/21-pipeline-operations.prose` |
| error, retry | `examples/22-error-handling.prose` |
### Remote Programs
You can run any `.prose` program from a URL or registry reference:
```bash
# Direct URL — any fetchable URL works
prose run https://raw.githubusercontent.com/openprose/prose/main/skills/open-prose/examples/48-habit-miner.prose
# Registry shorthand — handle/slug resolves to p.prose.md
prose run irl-danb/habit-miner
prose run alice/code-review
```
**Resolution rules:**
| Input | Resolution |
| ----------------------------------- | -------------------------------------- |
| Starts with `http://` or `https://` | Fetch directly from URL |
| Contains `/` but no protocol | Resolve to `https://p.prose.md/{path}` |
| Otherwise | Treat as local file path |
**Steps for remote programs:**
1. Apply resolution rules above
2. Fetch the `.prose` content
3. Load the VM and execute as normal
This same resolution applies to `use` statements inside `.prose` files:
```prose
use "https://example.com/my-program.prose" # Direct URL
use "alice/research" as research # Registry shorthand
```
---
## File Locations
**Do NOT search for OpenProse documentation files.** All skill files are co-located with this SKILL.md file:
| File | Location | Purpose |
| -------------------------- | --------------------------- | ---------------------------------------------- |
| `prose.md` | Same directory as this file | VM semantics (load to run programs) |
| `help.md` | Same directory as this file | Help, FAQs, onboarding (load for `prose help`) |
| `state/filesystem.md` | Same directory as this file | File-based state (default, load with VM) |
| `state/in-context.md` | Same directory as this file | In-context state (on request) |
| `state/sqlite.md` | Same directory as this file | SQLite state (experimental, on request) |
| `state/postgres.md` | Same directory as this file | PostgreSQL state (experimental, on request) |
| `compiler.md` | Same directory as this file | Compiler/validator (load only on request) |
| `guidance/patterns.md` | Same directory as this file | Best practices (load when writing .prose) |
| `guidance/antipatterns.md` | Same directory as this file | What to avoid (load when writing .prose) |
| `examples/` | Same directory as this file | 37 example programs |
**User workspace files** (these ARE in the user's project):
| File/Directory | Location | Purpose |
| ---------------- | ------------------------ | --------------------------------- |
| `.prose/.env` | User's working directory | Config (key=value format) |
| `.prose/runs/` | User's working directory | Runtime state for file-based mode |
| `.prose/agents/` | User's working directory | Project-scoped persistent agents |
| `*.prose` files | User's project | User-created programs to execute |
**User-level files** (in user's home directory, shared across all projects):
| File/Directory | Location | Purpose |
| ------------------ | --------------- | --------------------------------------------- |
| `~/.prose/agents/` | User's home dir | User-scoped persistent agents (cross-project) |
When you need to read `prose.md` or `compiler.md`, read them from the same directory where you found this SKILL.md file. Never search the user's workspace for these files.
---
## Core Documentation
| File | Purpose | When to Load |
| -------------------------- | ------------------------------- | --------------------------------------------------------------------- |
| `prose.md` | VM / Interpreter | Always load to run programs |
| `state/filesystem.md` | File-based state | Load with VM (default) |
| `state/in-context.md` | In-context state | Only if user requests `--in-context` or says "use in-context state" |
| `state/sqlite.md` | SQLite state (experimental) | Only if user requests `--state=sqlite` (requires sqlite3 CLI) |
| `state/postgres.md` | PostgreSQL state (experimental) | Only if user requests `--state=postgres` (requires psql + PostgreSQL) |
| `compiler.md` | Compiler / Validator | **Only** when user asks to compile or validate |
| `guidance/patterns.md` | Best practices | Load when **writing** new .prose files |
| `guidance/antipatterns.md` | What to avoid | Load when **writing** new .prose files |
### Authoring Guidance
When the user asks you to **write or create** a new `.prose` file, load the guidance files:
- `guidance/patterns.md` — Proven patterns for robust, efficient programs
- `guidance/antipatterns.md` — Common mistakes to avoid
Do **not** load these when running or compiling—they're for authoring only.
### State Modes
OpenProse supports three state management approaches:
| Mode | When to Use | State Location |
| --------------------------- | ----------------------------------------------------------------- | --------------------------- |
| **filesystem** (default) | Complex programs, resumption needed, debugging | `.prose/runs/{id}/` files |
| **in-context** | Simple programs (<30 statements), no persistence needed | Conversation history |
| **sqlite** (experimental) | Queryable state, atomic transactions, flexible schema | `.prose/runs/{id}/state.db` |
| **postgres** (experimental) | True concurrent writes, external integrations, team collaboration | PostgreSQL database |
**Default behavior:** When loading `prose.md`, also load `state/filesystem.md`. This is the recommended mode for most programs.
**Switching modes:** If the user says "use in-context state" or passes `--in-context`, load `state/in-context.md` instead.
**Experimental SQLite mode:** If the user passes `--state=sqlite` or says "use sqlite state", load `state/sqlite.md`. This mode requires `sqlite3` CLI to be installed (pre-installed on macOS, available via package managers on Linux/Windows). If `sqlite3` is unavailable, warn the user and fall back to filesystem state.
**Experimental PostgreSQL mode:** If the user passes `--state=postgres` or says "use postgres state":
**⚠️ Security Note:** Database credentials in `OPENPROSE_POSTGRES_URL` are passed to subagent sessions and visible in logs. Advise users to use a dedicated database with limited-privilege credentials. See `state/postgres.md` for secure setup guidance.
1. **Check for connection configuration first:**
```bash
# Check .prose/.env for OPENPROSE_POSTGRES_URL
cat .prose/.env 2>/dev/null | grep OPENPROSE_POSTGRES_URL
# Or check environment variable
echo $OPENPROSE_POSTGRES_URL
```
2. **If connection string exists, verify connectivity:**
```bash
psql "$OPENPROSE_POSTGRES_URL" -c "SELECT 1" 2>&1
```
3. **If not configured or connection fails, advise the user:**
```
⚠️ PostgreSQL state requires a connection URL.
To configure:
1. Set up a PostgreSQL database (Docker, local, or cloud)
2. Add connection string to .prose/.env:
echo "OPENPROSE_POSTGRES_URL=postgresql://user:pass@localhost:5432/prose" >> .prose/.env
Quick Docker setup:
docker run -d --name prose-pg -e POSTGRES_DB=prose -e POSTGRES_HOST_AUTH_METHOD=trust -p 5432:5432 postgres:16
echo "OPENPROSE_POSTGRES_URL=postgresql://postgres@localhost:5432/prose" >> .prose/.env
See state/postgres.md for detailed setup options.
```
4. **Only after successful connection check, load `state/postgres.md`**
This mode requires both `psql` CLI and a running PostgreSQL server. If either is unavailable, warn and offer fallback to filesystem state.
**Context warning:** `compiler.md` is large. Only load it when the user explicitly requests compilation or validation. After compiling, recommend `/compact` or a new session before running—don't keep both docs in context.
## Examples
The `examples/` directory contains 37 example programs:
- **01-08**: Basics (hello world, research, code review, debugging)
- **09-12**: Agents and skills
- **13-15**: Variables and composition
- **16-19**: Parallel execution
- **20-21**: Loops and pipelines
- **22-23**: Error handling
- **24-27**: Advanced (choice, conditionals, blocks, interpolation)
- **28**: Gas Town (multi-agent orchestration)
- **29-31**: Captain's chair pattern (persistent orchestrator)
- **33-36**: Production workflows (PR auto-fix, content pipeline, feature factory, bug hunter)
- **37**: The Forge (build a browser from scratch)
Start with `01-hello-world.prose` or try `37-the-forge.prose` to watch AI build a web browser.
## Execution
When first invoking the OpenProse VM in a session, display this banner:
```
┌─────────────────────────────────────┐
│ ◇ OpenProse VM ◇ │
│ A new kind of computer │
└─────────────────────────────────────┘
```
To execute a `.prose` file, you become the OpenProse VM:
1. **Read `prose.md`** — this document defines how you embody the VM
2. **You ARE the VM** — your conversation is its memory, your tools are its instructions
3. **Spawn sessions** — each `session` statement triggers a Task tool call
4. **Narrate state** — use the narration protocol to track execution ([Position], [Binding], [Success], etc.)
5. **Evaluate intelligently** — `**...**` markers require your judgment
## Help & FAQs
For syntax reference, FAQs, and getting started guidance, load `help.md`.
---
## Migration (`prose update`)
When a user invokes `prose update`, check for legacy file structures and migrate them to the current format.
### Legacy Paths to Check
| Legacy Path | Current Path | Notes |
| ------------------- | -------------- | -------------------------------- |
| `.prose/state.json` | `.prose/.env` | Convert JSON to key=value format |
| `.prose/execution/` | `.prose/runs/` | Rename directory |
### Migration Steps
1. **Check for `.prose/state.json`**
- If exists, read the JSON content
- Convert to `.env` format:
```json
{ "OPENPROSE_TELEMETRY": "enabled", "USER_ID": "user-xxx", "SESSION_ID": "sess-xxx" }
```
becomes:
```env
OPENPROSE_TELEMETRY=enabled
USER_ID=user-xxx
SESSION_ID=sess-xxx
```
- Write to `.prose/.env`
- Delete `.prose/state.json`
2. **Check for `.prose/execution/`**
- If exists, rename to `.prose/runs/`
- The internal structure of run directories may also have changed; migration of individual run state is best-effort
3. **Create `.prose/agents/` if missing**
- This is a new directory for project-scoped persistent agents
### Migration Output
```
🔄 Migrating OpenProse workspace...
✓ Converted .prose/state.json → .prose/.env
✓ Renamed .prose/execution/ → .prose/runs/
✓ Created .prose/agents/
✅ Migration complete. Your workspace is up to date.
```
If no legacy files are found:
```
✅ Workspace already up to date. No migration needed.
```
### Skill File References (for maintainers)
These documentation files were renamed in the skill itself (not user workspace):
| Legacy Name | Current Name |
| ----------------- | -------------------------- |
| `docs.md` | `compiler.md` |
| `patterns.md` | `guidance/patterns.md` |
| `antipatterns.md` | `guidance/antipatterns.md` |
If you encounter references to the old names in user prompts or external docs, map them to the current paths.Related Skills
---
name: article-factory-wechat
humanizer
Remove signs of AI-generated writing from text. Use when editing or reviewing text to make it sound more natural and human-written. Based on Wikipedia's comprehensive "Signs of AI writing" guide. Detects and fixes patterns including: inflated symbolism, promotional language, superficial -ing analyses, vague attributions, em dash overuse, rule of three, AI vocabulary words, negative parallelisms, and excessive conjunctive phrases.
find-skills
Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.
tavily-search
Use Tavily API for real-time web search and content extraction. Use when: user needs real-time web search results, research, or current information from the web. Requires Tavily API key.
baidu-search
Search the web using Baidu AI Search Engine (BDSE). Use for live information, documentation, or research topics.
agent-autonomy-kit
Stop waiting for prompts. Keep working.
Meeting Prep
Never walk into a meeting unprepared again. Your agent researches all attendees before calendar events—pulling LinkedIn profiles, recent company news, mutual connections, and conversation starters. Generates a briefing doc with talking points, icebreakers, and context so you show up informed and confident. Triggered automatically before meetings or on-demand. Configure research depth, advance timing, and output format. Walking into meetings blind is amateur hour—missed connections, generic small talk, zero leverage. Use when setting up meeting intelligence, researching specific attendees, generating pre-meeting briefs, or automating your prep workflow.
self-improvement
Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Claude ('No, that's wrong...', 'Actually...'), (3) User requests a capability that doesn't exist, (4) An external API or tool fails, (5) Claude realizes its knowledge is outdated or incorrect, (6) A better approach is discovered for a recurring task. Also review learnings before major tasks.
botlearn-healthcheck
botlearn-healthcheck — BotLearn autonomous health inspector for OpenClaw instances across 5 domains (hardware, config, security, skills, autonomy); triggers on system check, health report, diagnostics, or scheduled heartbeat inspection.
linkedin-cli
A bird-like LinkedIn CLI for searching profiles, checking messages, and summarizing your feed using session cookies.
notebooklm
Google NotebookLM 非官方 Python API 的 OpenClaw Skill。支持内容生成(播客、视频、幻灯片、测验、思维导图等)、文档管理和研究自动化。当用户需要使用 NotebookLM 生成音频概述、视频、学习材料或管理知识库时触发。
小红书长图文发布 Skill
## 概述