auto Agent Skill

Observe the user's screen via screenpipe, detect repeated research workflows, match them against existing scientific-agent-skills, and…

Context cost
4.2k tokensestimated from the bundle, loaded when it triggers
Bundle
14 files · 42.7 kB10 scripts among them — read before you run
Licence
MIT licensethe author’s own terms
Last change
—v1.3
Servers it uses
Noneruns standalone

What it does

Observe the user's screen via screenpipe, detect repeated research workflows, match them against existing scientific-agent-skills, and draft new skills (or composition recipes that chain existing ones) for the patterns not yet covered. Use when the user asks to analyze their recent work and propose skills based on what they actually do. Requires the screenpipe daemon (https://github.com/screenpipe/screenpipe) running locally on port 3030 — the skill has no other data source and will refuse to run if screenpipe is unreachable.

What this skill changes about the agent has not been set out here as a list. Its SKILL.md, shown below, says it in the author’s own words.

agentproductivityresearch

The skill itself

A skill is instructions the model reads, so you can see what you are getting: below is the start of its SKILL.md. The front matter loads with every session, the body loads when the skill triggers, and the whole file comes with the install.

SKILL.md11.8 kB · preview
--- name: autoskill allowed-tools: Read Write Edit Bash license: MIT license metadata: version: "1.3" skill-author: K-Dense Inc. openclaw: requires: bins: - screenpipe primaryEnv: SCREENPIPE_TOKEN envVars: - name: SCREENPIPE_TOKEN required: true - name: ANTHROPIC_API_KEY required: false - name: FOUNDRY_API_KEY required: false ---
26# autoskill
27
28> **Requires a running [screenpipe](https://github.com/screenpipe/screenpipe) daemon.** This skill has no alternate data source — it reads exclusively from the local screenpipe HTTP API (default http://localhost:3030). If the daemon isn't running, run() raises ScreenpipeUnreachable with install instructions.
29
30> **Network access & environment variables.** This skill makes authenticated HTTP requests to (a) the user's local screenpipe daemon on loopback, and (b) the user-configured LLM backend — one of http://localhost:1234/v1 (LM Studio, default), https://api.anthropic.com (opt-in Claude), or a user-supplied BYOK Foundry gateway. The skill reads three environment variables — SCREENPIPE_TOKEN, ANTHROPIC_API_KEY, FOUNDRY_API_KEY — and uses each only to authenticate to the single endpoint its name implies. No other network destinations, no telemetry, no data egress to any third party.
31
32## Overview
33
34Turn the user's own workflow history — captured passively by the local [screenpipe](https://github.com/screenpipe/screenpipe) daemon — into new skills. This skill is on-demand: the user invokes it with a time window, it queries screenpipe's local HTTP API, clusters repeated workflow patterns, compares each pattern against the existing skills in this repo, and produces a staged folder of proposals the user can review, edit, and promote.
35
36## When to Use This Skill
37
38Invoke this skill when the user asks to:
39- "Analyze my last 4 hours / day / week and propose new skills."
40- "Look at what I've been doing and tell me what's not covered yet."
41- "Draft a skill from my recent workflow."
42- "Find composition recipes for workflows I repeat."
43
44Do **not** invoke it for one-off questions about screenpipe itself, for real-time screen queries, or without an explicit user request — the skill analyzes sensitive local content and must stay explicitly user-triggered.
This is a preview of SKILL.md. Download or install the skill to get the whole thing.
In the file
SKILL.md1,531 words
Files14
LicenceMIT license
Why you can read it

Nothing in a skill executes. The client loads the text and the model follows it, so a skill can be audited the way a runbook is — by reading it.

What it costs in context

Skills are not billed by the call. They are paid for in context: every token the instructions occupy is a token your code, your diff and your conversation cannot use. Here is what this one takes and when it takes it.

≈300
always loaded
The name and description, so the model knows the skill exists and when to reach for it.
3,925
on trigger
The instruction body and 13 supporting files, read only when the skill fires.
2.1%
of a 200k window
Ten skills this size would take about 21% of the window before you open a file.
050k100k150k200k context window

4.2k tokens, estimated from the bundle at four bytes to the token, held for the rest of the session once it triggers. Heavy. Teams tend to install this one per project rather than globally, and load it only when the job comes up.

Servers bill, skills cost

A server charges by the month. A skill charges once per session, in context, and then keeps charging it for as long as the session lives.

Before and after

The same question, put to the same model twice: once as it comes, and once with these instructions loaded.

No worked example has been published for this skill yet.

The procedure it runs

The procedure has not been set out here step by step. It is in the body of its SKILL.md: the start of it is shown above, and the whole file comes with the install.

Prose, not code

These steps are written for a model to follow, not executed by a runtime. It can still be told to skip one, and it will say so when it does.

Servers it uses

None. This skill calls no MCP servers at all.

Everything it needs is in the instructions, so it works in a project with nothing connected — the model reads the file and changes how it works with what it can already reach.

It asks the agent to write files, using whatever file access your client already has. Whether it reaches the network is not declared.

What it asks for
Writes filesyes
Network accessnot declared

Read from the allowed-tools line of this skill’s own SKILL.md. It also asks for Bash, which could do either, so what is not named there is not ruled out. A skill grants no permissions of its own — it can only ask for tools your client already has.

What it will not do

Every skill is narrow, and the useful ones say where they stop. These are the jobs this one is the wrong tool for.

What this skill is not for has not been published here. Nothing is implied by that: it is a section the author has not filled in.

What is in the bundle

14 files, 42.7 kB on disk. Mostly text — the instructions the model reads — with 10 scripts in it that your client would run only if the instructions tell it to. 1 file of its source is not in the download — listed after these, with why.

  • SKILL.md11.8 kB
  • config.yaml2.0 kB
  • references/https-proxy.md1.5 kB
  • references/screenpipe-config.yaml1.6 kB
  • scripts/autoskill.py1.2 kB
  • scripts/backends.py3.9 kB
  • scripts/cluster.py1.7 kB
  • scripts/doctor.py3.5 kB
  • scripts/fetch_window.py1.2 kB
  • scripts/match_skills.py1.3 kB
  • scripts/promote.py1.6 kB
  • scripts/redact.py1.6 kB
  • scripts/run.py7.4 kB
  • scripts/synthesize.py2.4 kB

Not in the download

Not carried is a type a skill download does not hold. Take it from its source.

  • .gitignorenot carried
What is not in it

A skill installs nothing and depends on nothing: it is a folder your client reads. This one carries 10 scripts beside the text, so the download is 14 files — not the whole of its source: 1 file is left out. It is listed under the files, with why. The MIT license covers the templates and examples as well as the instructions.

Install

Installing copies the bundle into your project. Nothing runs at install time — the files sit on disk until the model reads them.

# auto · 4.2k tokens when loaded · macOS, Linux mkdir -p .claude/skills && t=$(mktemp -d) && curl -fsSL -o "$t/bundle.tar.gz" https://mcprush.com/api/skills/stephenokj78-auto/bundle.tar.gz && tar -xzf "$t/bundle.tar.gz" -C "$t" && [ -d "$t/auto" ] && { [ ! -e .claude/skills/auto ] || { mv .claude/skills/auto "$t/.previous" && echo "Previous copy moved to $t/.previous"; }; } && mv "$t/auto" .claude/skills/ && echo "Installed .claude/skills/auto"
On Windows, or any OS with Node 20+
npx mcprush@latest skill add stephenokj78/auto

Windows PowerShell says 'running scripts is disabled on this system'? Run Set-ExecutionPolicy -Scope CurrentUser RemoteSigned once, or type npx.cmd instead of npx (codex.cmd, gemini.cmd, grok.cmd likewise). PowerShell 7 needs neither. Writes to .claude/skills/auto/ in the current project. For every project instead, run mkdir -p ~/.claude/skills && t=$(mktemp -d) && curl -fsSL -o "$t/bundle.tar.gz" https://mcprush.com/api/skills/stephenokj78-auto/bundle.tar.gz && tar -xzf "$t/bundle.tar.gz" -C "$t" && [ -d "$t/auto" ] && { [ ! -e ~/.claude/skills/auto ] || { mv ~/.claude/skills/auto "$t/.previous" && echo "Previous copy moved to $t/.previous"; }; } && mv "$t/auto" ~/.claude/skills/ && echo "Installed ~/.claude/skills/auto" (macOS, Linux) — or add --global to the npx line. The curl line replaces .claude/skills/auto/ only after the download succeeds, so files left there by another skill of the same name, or by an older release, do not mix in. A copy already there is moved aside, not deleted, and the line prints where. It appears as autoskill in Gemini CLI, Codex, Copilot and Grok (its own name); Claude Code lists it by the folder name, auto. Not in this download: 1 file of its source (which one, and why). Take it from its source.

Which clients pick it up on their own

A skill is a folder of text. Most of these read a skills folder and pick it up without being told; the rest take the same folder another way — an upload in the app, a parameter on an API call — and then choose it by its description just the same.

Claude Code.claude/skills/
Claude DesktopCustomize › Skills
ChatGPTSkills › Create › Upload
Cursor.cursor/skills/
VS Code.github/skills/
Codex CLI.agents/skills/
Gemini CLI.gemini/skills/
Grok Build.grok/skills/
Microsoft CopilotSkills › Upload a skill
PerplexityComputer › Skills › Upload a skill
DeepSeek Harness.dsh/skills/
Zed.agents/skills/
Devin Desktop.devin/skills/
Windsurf (legacy).windsurf/skills/
OpenAI Agents SDKInstructions or sandbox Skills
HTTP / APIa request parameter
This release
Version1.3
Publishedno release date on file
PriceFree
Referencestephenokj78/auto

Versions

v1.3 is what is on the shelf; no release here carries a date. Instructions change more often than APIs do — a skill can be rewritten entirely without anything it depends on moving.

v1.3
  • No earlier releases have been published to the marketplace.
Pinning

The install command always fetches the release that is current the day you run it — v1.3 today — and cannot ask for an earlier one. The copy on your disk does not change until you run it again.

Reviews

—no reviews yet

Nobody has reviewed this skill yet. The rating is the mean of the reviews written here, so there is none until somebody writes the first.

Sign in to review it

A review is tied to an account so it can be answered, edited and taken down by the person who wrote it.

Sign in
Who can post

Anybody with an account, one review each. It carries the version that was current when you wrote it, and the publisher may reply once.

Publisher
Servers0
Claim this skill