Stuart Russell
K-Dense-AI/mimeo
Applies the reasoning of Stuart Russell, AI safety expert, UC Berkeley professor, and co-author of 'Artificial Intelligence: A Modern Approach'.
A skill your agent uses when the user wants to tailor a workflow for a specific industry, domain, or vertical with specialized expertise, terminology, and guardrails.
Install Specialize
$ npx skills add sharpdeveye/maestro --skill specialize -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install sharpdeveye/maestro specialize --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/sharpdeveye/maestro.git skills-src && mkdir -p .claude/skills && cp -r skills-src/source/skills/specialize .claude/skills/specialize && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "specialize" agent skill from https://github.com/sharpdeveye/maestro/tree/main/source/skills/specialize into .claude/skills/specialize/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "specialize", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/sharpdeveye/maestro/tree/main/source/skills/specializeType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add sharpdeveye/maestro --skill specialize -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install sharpdeveye/maestro specialize --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sharpdeveye/maestro.git skills-src && mkdir -p .agents/skills && cp -r skills-src/source/skills/specialize .agents/skills/specialize && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "specialize" agent skill from https://github.com/sharpdeveye/maestro/tree/main/source/skills/specialize into .agents/skills/specialize/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "specialize", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add sharpdeveye/maestro --skill specialize -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install sharpdeveye/maestro specialize --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sharpdeveye/maestro.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/source/skills/specialize .cursor/skills/specialize && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "specialize" agent skill from https://github.com/sharpdeveye/maestro/tree/main/source/skills/specialize into .cursor/skills/specialize/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "specialize", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/sharpdeveye/maestro.git --path source/skills/specialize--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add sharpdeveye/maestro --skill specialize -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install sharpdeveye/maestro specialize --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sharpdeveye/maestro.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/source/skills/specialize .gemini/skills/specialize && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "specialize" agent skill from https://github.com/sharpdeveye/maestro/tree/main/source/skills/specialize into .gemini/skills/specialize/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "specialize", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install sharpdeveye/maestro specializeInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add sharpdeveye/maestro --skill specialize -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/sharpdeveye/maestro.git skills-src && mkdir -p .github/skills && cp -r skills-src/source/skills/specialize .github/skills/specialize && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "specialize" agent skill from https://github.com/sharpdeveye/maestro/tree/main/source/skills/specialize into .github/skills/specialize/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "specialize", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add sharpdeveye/maestro --skill specialize -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install sharpdeveye/maestro specialize --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sharpdeveye/maestro.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/source/skills/specialize .opencode/skills/specialize && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "specialize" agent skill from https://github.com/sharpdeveye/maestro/tree/main/source/skills/specialize into .opencode/skills/specialize/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "specialize", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
specialize- GitHub stars
- 592
- Token cost
- ~614 tokens
- SKILL.md length
- 197 words
- Files
- 1
- Skills in repo
- 25
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when the user wants to tailor a workflow for a specific industry, domain, or vertical with specialized expertise, terminology, and guardrails.
- Works in 4 steps: Domain Discovery → Specialize Prompts → Specialized Evaluation → …
- The user wants to tailor a workflow for a specific industry
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Vertical with specialized expertise
What it does
Specialize is an agent skill from sharpdeveye/maestro. Use when the user wants to tailor a workflow for a specific industry, domain, or vertical with specialized expertise, terminology, and guardrails.
Its SKILL.md is about 610 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in AI & LLM Engineering, covering LLM guardrails. The repository describes itself as: Workflow fluency for AI coding agents. 1 core skill · 25 commands · 7 domain references · memory layer · audit trail — works across Cursor, Claude Code, Gemini CLI, Copilot, and… The licence is MIT.
When your agent uses it
- The user wants to tailor a workflow for a specific industry
- Vertical with specialized expertise
Example prompts
- “/specialize”
Workflow steps
4 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit 00f9115. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Specialize loads about 614 tokens when it runs. Until then it costs about 39 tokens; SKILL.md has 197 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from sharpdeveye/maestro at commit 00f9115, republished under its MIT licence (© sharpdeveye). 197 words, ~614 tokens.
Download SKILL.mdSave it as
.claude/skills/specialize/SKILL.md (or your agent's skills folder).- name
- specialize
- description
- Use when the user wants to tailor a workflow for a specific industry, domain, or vertical with specialized expertise, terminology, and guardrails.
- argument-hint
- [domain]
- category
- utility
- version
- 2.0.0
- user-invocable
- true
MANDATORY PREPARATION
Invoke /agent-workflow — it contains workflow principles, anti-patterns, and the Context Gathering Protocol. Follow the protocol before proceeding — if no workflow context exists yet, you MUST run /teach-maestro first.
Transform a general-purpose workflow into a domain expert.
Step 1: Domain Discovery
- Terminology: What domain-specific language must the agent use?
- Regulations: What compliance requirements apply? (HIPAA, SOC2, GDPR)
- Standards: What industry standards govern output format or quality?
- Expert expectations: What would a domain expert check first?
- Common errors: What mistakes would a non-expert make?
Step 2: Specialize Prompts
## Generic: You are an assistant that analyzes documents.
## Specialized (legal): You are a senior legal analyst specializing in contract review.
You understand common law jurisdictions, standard contract clauses, and the
difference between representations and warranties. Always caveat that this
is not legal advice.Step 3: Specialized Evaluation
| Domain | Evaluation Criteria |
|---|---|
| Legal | Clause completeness, regulatory compliance, jurisdiction accuracy |
| Medical | Clinical accuracy, guideline adherence, contraindication checks |
| Financial | Calculation accuracy, regulatory disclosure, risk assessment |
| Code | Test coverage, security vulnerabilities, performance |
| Customer Support | Tone, escalation accuracy, resolution completeness |
Step 4: Domain Guardrails
- Legal: "Not legal advice" disclaimer, jurisdiction limitations
- Medical: "Not medical advice" disclaimer, emergency detection
- Financial: Regulatory disclosures, suitability warnings
- Code: Security scanning, dependency vulnerability checks
Recommended Next Step
After specialization, run /evaluate with domain-specific scenarios, then /guard to add domain-appropriate safety guardrails.
NEVER:
- Specialize without consulting domain experts or authoritative sources
- Skip domain-specific guardrails
- Use generic evaluation for specialized domains
- Cut corners on terminology
© sharpdeveye, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in source/skills/specialize of sharpdeveye/maestro.
Open the folder on GitHubat commit 00f9115
Compare with similar skills
Specialize next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Specialize this skillsharpdeveye/maestro | 592 | — | ~614 | Automated safety check: Pass | MIT | |
| Stuart RussellK-Dense-AI/mimeo | 282 | — | ~1.6k | Automated safety check: Pass | MIT | |
| Yoshua BengioK-Dense-AI/mimeo | 282 | — | ~1.8k | Automated safety check: Pass | MIT | |
| Responsible AI InterviewerPrepLabsAI/InterviewMentor | 112 | — | ~5.4k | Automated safety check: Pass | MIT | |
| Legal Simulation Patrick Munrolawve-ai/awesome-legal-skills | 826 | — | ~5.6k | Automated safety check: Pass | AGPL-3.0 | |
| ObliteratusRedWoodOG/Hermes-Desktop | 177 | 6 repos | ~3.8k | Automated safety check: Pass | MIT |
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Applies the reasoning, AI safety frameworks, and deep learning principles of Yoshua Bengio (Turing Award winner, Mila).
Responsible AI Interviewer
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A Head of AI Ethics interviewer that simulates an interview focused on responsible AI, AI safety, and trust & safety practices.
Legal Simulation Patrick Munro
lawve-ai/awesome-legal-skills
Framework for demonstrating AI capabilities in legal contexts.
Obliteratus
RedWoodOG/Hermes-Desktop
Remove refusal behaviors from open-weight LLMs using OBLITERATUS — mechanistic interpretability techniques (diff-in-means, SVD, whitened SVD, LEACE, SAE decomposition, etc.) to excise guardrails…
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Categories
Questions about Specialize
What does Specialize do?
A skill your agent uses when the user wants to tailor a workflow for a specific industry, domain, or vertical with specialized expertise, terminology, and guardrails. Specialize is an agent skill from sharpdeveye/maestro. Use when the user wants to tailor a workflow for a specific industry, domain, or vertical with specialized expertise, terminology, and guardrails.
When should I use Specialize?
Specialize fits situations like: the user wants to tailor a workflow for a specific industry; vertical with specialized expertise.
How do I install Specialize in Claude Code?
Run `npx skills add sharpdeveye/maestro --skill specialize -a claude-code`. Or copy the skill folder (source/skills/specialize in sharpdeveye/maestro) into .claude/skills/specialize in your project. Claude Code loads it when a task matches its description.
How do I install Specialize in Codex?
Run `npx skills add sharpdeveye/maestro --skill specialize -a codex`. Or copy the skill folder (source/skills/specialize in sharpdeveye/maestro) into .agents/skills/specialize in your project. Codex loads it when a task matches its description.
Can I use Specialize in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add sharpdeveye/maestro --skill specialize -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/specialize, .gemini/skills/specialize, .github/skills/specialize and .opencode/skills/specialize in your project.
What does Specialize need to run?
SKILL.md names no scripts, command-line tools or credentials: Specialize is instructions for the agent only.
Does Specialize access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Specialize safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Specialize use?
Specialize is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Specialize use?
About 614 tokens (SKILL.md is roughly 2.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Specialize?
Skills that share tags, products or a category with Specialize: Stuart Russell (K-Dense-AI/mimeo, 282 stars), Yoshua Bengio (K-Dense-AI/mimeo, 282 stars), Responsible AI Interviewer (PrepLabsAI/InterviewMentor, 112 stars) and Legal Simulation Patrick Munro (lawve-ai/awesome-legal-skills, 826 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Specialize?
sharpdeveye (a GitHub user) maintains it in sharpdeveye/maestro, which has 592 GitHub stars. The repository holds 25 skills in this directory. The repository was last updated on April 29, 2026.
Source: sharpdeveye/maestro on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.