Drclaw

OrganizationPopular

OpenLAIR

drclaw

Dr. Claw workspace skill for project lookup, session inspection, TaskMaster progress, OpenClaw structured schema, and event-driven reporting

Overview

Publisher	OpenLAIR
Repository	`dr-claw`
Skill name	`drclaw`
Stars	1.2K
Forks	136
Bundled files	26
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
26 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by OpenLAIR on GitHub. Read the source before you install it.

Installation

Install the Drclaw AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/OpenLAIR/dr-claw/tree/main/agent-harness
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/OpenLAIR/dr-claw.git /tmp/dr-claw
mkdir -p .claude/skills
cp -r /tmp/dr-claw/agent-harness .claude/skills/drclaw

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Drclaw in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Drclaw on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Drclaw is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Dr. Claw Research Skill

Use this skill when the user asks about Dr. Claw projects, wants to inspect Claude/Cursor/Codex/Gemini sessions, needs task progress pushed to OpenClaw/mobile, or wants structured OpenClaw-ready JSON outputs.

Setup check

Before using Dr. Claw, verify the server is reachable:

bash
drclaw server status

If needed, start it:

bash
drclaw server on

Project discovery

bash
drclaw --json projects list

Project references accepted by the CLI:

name
displayName
filesystem path / fullPath

If a path exists locally but is not registered yet:

bash
drclaw projects add /absolute/path/to/project --name "Display Name"

Session workflows

List sessions:

bash
drclaw --json sessions list <project-ref>
drclaw --json sessions list <project-ref> --provider cursor

Fetch messages:

bash
drclaw --json sessions messages <project-ref> <session-id> --provider claude --limit 100

Send Claude a message:

bash
drclaw --json chat send --project <project-ref> --message "<user message>"

Reply to an existing session with structured OpenClaw output:

bash
drclaw --json chat reply --project <project-ref> --session <session-id> -m "<user message>"

List active sessions across projects:

bash
drclaw --json chat sessions

TaskMaster workflows

Check whether TaskMaster is present:

bash
drclaw --json taskmaster detect <project-ref>

Get progress and next action:

bash
drclaw --json taskmaster summary <project-ref>
drclaw --json taskmaster next-guidance <project-ref>

Initialize .pipeline for a project if needed:

bash
drclaw taskmaster init <project-ref>

OpenClaw / mobile reporting

Configure the default push channel once:

bash
drclaw openclaw configure --push-channel feishu:<chat_id>

Preview a mobile report:

bash
drclaw --json openclaw report --project <project-ref> --dry-run

Send it:

bash
drclaw openclaw report --project <project-ref>

Start the event-driven watcher daemon:

bash
drclaw --json openclaw-watch on --to feishu:<chat_id>
drclaw --json openclaw-watch status
drclaw --json openclaw-watch off

The watcher is now a useful notification pipeline rather than raw websocket forwarding. It:

subscribes to Dr. Claw WebSocket events
resolves the concrete project when possible
compares workflow snapshots to derive higher-level signals
deduplicates repeated notifications with a stable signature and 6-hour TTL
asks OpenClaw agent to generate the final Feishu/Lark summary through --deliver
falls back to a direct bridge push if agent summarization fails

Current attention-worthy signals include:

human_decision_needed
waiting_for_human
blocker_detected
blocker_cleared
task_completed
next_task_changed
attention_needed
session_aborted

Watcher runtime files:

state: ~/.drclaw/openclaw-watcher-state.json
log: ~/.drclaw/logs/openclaw-watcher.log

Structured OpenClaw schema

Major JSON commands now include a top-level openclaw field with a stable versioned schema for mobile / voice clients.

Current schema families:

openclaw.turn.v1
openclaw.project.v1
openclaw.portfolio.v1
openclaw.daily.v1
openclaw.report.v1
openclaw.event.v1

Practical client rules:

prefer decision.needed over guessing whether to interrupt the user
prefer next_actions for quick actions and voice suggestions
prefer turn.summary or portfolio focus for compact rendering
for watcher events, read openclaw.event.v1.event.signals first instead of raw type

Formal contract:

bash
cat agent-harness/cli_anything/drclaw/SCHEMA.md

Recommended operating flow

If the user did not specify a project, run projects list and resolve the project first.
For freeform project questions, use chat send or chat reply, and prefer the openclaw schema field over parsing raw reply text.
For status/progress questions, prefer workflow status, digest project, digest portfolio, and taskmaster next-guidance.
For proactive mobile updates, use openclaw report.
For background attention monitoring, use openclaw-watch on instead of polling digest commands manually.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Drclaw AI skill do?

Dr. Claw workspace skill for project lookup, session inspection, TaskMaster progress, OpenClaw structured schema, and event-driven reporting

Why use Drclaw on TypingMind?

Because you install it once and use it with any model. Drclaw is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Drclaw in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/OpenLAIR/dr-claw/tree/main/agent-harness. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Drclaw?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Drclaw?

As many as you like. As long as a model supports skills, you can use Drclaw with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Drclaw AI skill free?

It is published on GitHub by OpenLAIR. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Dr. Claw Research Skill

Setup check

Project discovery

Session workflows

TaskMaster workflows

OpenClaw / mobile reporting

Structured OpenClaw schema

Recommended operating flow

Bundled files

Frequently asked questions

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