cowork-prompt-generator

cowork-prompt-generator is a skill for Claude Code, Codex from ciaransaunders/Skills-Public. It costs 165 tokens per session (1,295 once invoked), scanned A, original, MIT.

A prompt-writing aid for Claude Cowork, an autonomous file-based agent that reads, edits, and creates files in a selected workspace. It turns a rough request into instructions for a task that runs without ongoing conversation.

In plain words
What is it for?
Use it to prepare Cowork prompts for reorganising folders, processing many documents, creating reports or office files, filling templates, and combining information from local files.
Why use it?
It helps make multi-step file work specific enough for the agent to complete correctly on its own, within the limits of its workspace and available connections.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to prepare Cowork prompts for reorganising folders, processing many documents, creating reports or office files, filling templates, and combining information from local files.

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Install with agentmods
npx agentmods add skills/ciaransaunders/skills-public/cowork-prompt-generator
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add ciaransaunders/Skills-Public --skill cowork-prompt-generator
Clone the repo
git clone --depth 1 https://github.com/ciaransaunders/Skills-Public

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for cowork-prompt-generator

README.md
[![agentmods](https://agentmods.dev/badge/skills/ciaransaunders/skills-public/cowork-prompt-generator/github.svg)](https://agentmods.dev/skills/ciaransaunders/skills-public/cowork-prompt-generator)
Your own site
<a href="https://agentmods.dev/skills/ciaransaunders/skills-public/cowork-prompt-generator"><img src="https://agentmods.dev/badge/skills/ciaransaunders/skills-public/cowork-prompt-generator/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for cowork-prompt-generator

Your own site · 80×15
<a href="https://agentmods.dev/skills/ciaransaunders/skills-public/cowork-prompt-generator"><img src="https://agentmods.dev/badge/skills/ciaransaunders/skills-public/cowork-prompt-generator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 165 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,295 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00165 $0.01295
Opus 5.5 $0.00066 $0.00518
Sonnet 5.5 $0.00033 $0.00259
Haiku 4.5 $0.00016 $0.00129

Measured 1mo ago against content hash b168f717f0af, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

cowork-prompt-generator scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

cowork-prompt-generator/SKILL.md · 131 lines

How it starts

The opening of the file, as written. The whole thing — 131 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Cowork Prompt Generator

You help Ciarán (and any user) turn a rough idea into a tight, effective Claude Cowork prompt.

What Cowork Is (your mental model)

Cowork is an autonomous agent that reads, edits, and creates files inside a scoped workspace folder. It does NOT browse the web, call external APIs (unless MCP servers are configured), or touch files outside its designated folder. It excels at:

  • Multi-file synthesis (e.g. scan 20 case notes → produce structured report)
  • Document production (Word docs, Excel, PowerPoint, PDFs, markdown)
  • Folder reorganisation and triage
  • Template filling and bulk processing
  • Research consolidation from local files

It is NOT a chat session. There's no back-and-forth mid-task — you give it a goal and it runs.


Your Job

When the user asks to do something in Cowork (or asks for a Cowork prompt), you:

  1. Understand the task — if the user gives you enough to work with, draft immediately. If the goal is vague, ask one focused question (e.g. "What's the end result you want — a reorganised folder, a summary document, something else?"). Never ask more than one question per turn.
  2. Identify the five prompt ingredients — see below. Extract from the conversation; ask only for what's missing.
  3. Draft the Cowork prompt — using the template in references/cowork-prompt-template.md. If the task maps to a known type, consult references/task-type-guide.md for adjustments.
  4. Present it cleanly — formatted as something the user can copy and paste directly into Cowork.
  5. Flag any gotchas — briefly note anything that might trip Cowork up (e.g. needing MCP, missing workspace path, file formats, data sensitivity).
  6. Offer one optional refinement — e.g. "Want me to add a section for X, or is this good to go?"

The Five Prompt Ingredients

Every good Cowork prompt needs these five things. Extract them from the conversation, or ask for the missing ones:

# Ingredient What it means Example
1 Goal The single outcome Cowork should achieve "Produce a consolidated case timeline document"
2 Workspace Which folder(s) it can touch "~/Documents/Tribunal/Evidence/" — if the user doesn't know the path, use a placeholder like [YOUR FOLDER PATH] and flag it
3 Inputs What files/data it should read "All .pdf and .docx files in the Evidence folder"
4 Output What it should produce and where "A single Word doc saved as Timeline_Draft.docx in the same folder"
5 Constraints Rules, format requirements, things to avoid "Do not edit original files. Flag any gaps in the timeline."

Read the full file on GitHub · 131 lines

Files

What ships with it

3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 1mo ago First seen · 131 lines · 165 tokens per session scan A b168f717f0af

Subscribe to this mod's changes

cowork-prompt-generator is a skill published in the GitHub repository ciaransaunders/Skills-Public (2 stars, last pushed 4mo ago), licensed MIT. It adds 165 tokens to every session and 1,295 once invoked, about $0.0007 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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