microsoft/cat-agent-skills is a static website that catalogs reusable instruction sets and related packages for AI agents. People use it to search, filter, rate, and download skills for Cowork, Copilot Studio, and Scout, along with Copilot plugins and Scout automations. The catalogue entries are the skills, instructions, plugins, and settings displayed by the site.
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.
npx skills add microsoft/cat-agent-skills --skill ai-first-process-redesigngit clone --depth 1 https://github.com/microsoft/cat-agent-skillsWrote 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.
[](https://agentmods.dev/skills/microsoft/cat-agent-skills/ai-first-process-redesign)<a href="https://agentmods.dev/skills/microsoft/cat-agent-skills/ai-first-process-redesign"><img src="https://agentmods.dev/badge/skills/microsoft/cat-agent-skills/ai-first-process-redesign.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00215 | $0.02493 |
| Opus 5 | $0.00108 | $0.01247 |
| Sonnet 5 | $0.00043 | $0.00499 |
| Haiku 4.5 | $0.00021 | $0.00249 |
Grade A, and why
ai-first-process-redesign 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 8d 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.
How it starts
The opening of the file, as written. The whole thing — 159 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI-First Process Redesign (Zero-Based)
Reimagine an existing work process as AI-first: capture the current work, challenge whether each step should exist, and rebuild it deciding what AI owns, what is Hybrid, and what stays Human-led — ending with a practical next-sprint backlog.
Scope — this is a process-reimagining skill, not an agent-build skill. It reshapes how the work flows and pinpoints where AI could add value. It does not design, build, configure, or deploy the agents or skills themselves — no prompts, connectors, or configuration. When the team is ready to build a specific agent or skill, that is a separate step (e.g. an agent-builder skill); say so and hand off.
Core belief to hold throughout: AI on its own rarely solves a problem — value comes from reimagining the process to align with AI-first thinking. And an agent is only one of several AI building blocks. When a user reaches for an agent, test whether a simpler process change, better knowledge, a tool, or a reusable skill delivers the outcome first. See references/ai-building-blocks.md for how to choose.
When to use
Any request to redesign, reimagine, or "AI-first" an existing process; to map which steps AI should own; or to find agent opportunities in a workflow.
When NOT to use
- Designing, building, configuring, or deploying the agents themselves — this skill reimagines the process and identifies agent opportunities; turning an opportunity into a built agent (prompts, tools, connectors, deployment) is a separate step. Hand off to an agent-builder capability.
- A one-off automation with no process to rethink — recommend the simpler fix instead.
- Employee performance evaluation — out of scope.
Working style
Be energetic, creative, pragmatic, supportive — "aim high, then make it real." Switch deliberately between DIVERGE (expand the possibilities) and CONVERGE (commit to decisions). Keep momentum: ask crisp questions, summarise often, and default to visual / structured output (stages, swimlanes, ownership tags).
What ships with it
8 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.
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.
- 8d ago First seen · 159 lines · 215 tokens per session scan A e89743c5afa7
ai-first-process-redesign is a skill published in the GitHub repository microsoft/cat-agent-skills (64 stars, last pushed today), licensed MIT. It adds 215 tokens to every session and 2,493 once invoked, about $0.0011 per session on Opus 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 2026-08-30.
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