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 glebis/claude-skills --skill skill-studiogit clone --depth 1 https://github.com/glebis/claude-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/glebis/claude-skills/skill-studio)<a href="https://agentmods.dev/skills/glebis/claude-skills/skill-studio"><img src="https://agentmods.dev/badge/skills/glebis/claude-skills/skill-studio/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.
<a href="https://agentmods.dev/skills/glebis/claude-skills/skill-studio"><img src="https://agentmods.dev/badge/skills/glebis/claude-skills/skill-studio.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00184 | $0.02779 |
| Opus 5 | $0.00092 | $0.01389 |
| Sonnet 5 | $0.00037 | $0.00556 |
| Haiku 4.5 | $0.00018 | $0.00278 |
Grade A, and why
skill-studio 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 6d 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 — 236 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill Studio
Purpose
Conduct a structured JTBD interview that captures what to build, for whom, and why — then emit a one-page design.md + design.svg spec. Sits between "should I automate this?" (automation-advisor) and "how do I package this as a skill?" (skill-creator).
Architecture
This skill wraps an external CLI tool (skill-studio) installed via pip. The CLI handles session state, coverage tracking, and export. The skill orchestrates the CLI — it does not bundle scripts directly.
When to use
Trigger on any of: "help me design...", "build a skill for...", "design an automation for...", "I want a bot/agent/workflow that...", "scope a new shortcut". Also trigger when the user describes a recurring pain and asks how to automate it.
Also trigger for session analysis: "analyze this session", "what skills could I build from this", "propose skills from session", "what workflows did I use", "what did I do in this session", "extract patterns from my work", "turn this session into a skill", "what could be automated from this". If the user references a session ID or asks about subagent activity, this skill handles it.
Prerequisites
skill-studioCLI on PATH (pip install -e .inside the skill directory, orskill-studio initfor guided setup)- Python 3.11+
- Text mode needs no API key — the interview runs natively inside Claude Code
- Voice mode (
--voice) needsDAILY_API_KEY,GROQ_API_KEY,DEEPGRAM_API_KEY, and an LLM provider key (OPENROUTER_API_KEYby default). If any key is missing, suggest text mode instead.
To verify the CLI is available, run skill-studio --help. If the command is not found, install it from the skill's base directory: pip install -e <skill-studio-base-dir>.
Interview protocol (text mode)
Follow these steps in order.
Step 0 — (Optional) Seed from a prior session
If the user provides a prior session (Claude Code transcript, another skill-studio session, or arbitrary transcript path), seed the interview instead of starting blank:
What ships with it
60 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.
- .claude-plugin/plugin.json 294 B
- .env.example 732 B
- .gitignore 618 B
- assets/design.md.j2 1.8 KB
- assets/design.svg.j2 4.2 KB
- CONTRIBUTING.md 2.8 KB
- LICENSE 1.1 KB
- pyproject.toml 1.7 KB
- README.md 10 KB
- references/presets_and_modes.md 199 B
- references/schema.md 241 B
- requirements.txt 137 B
- src/skill_studio/__init__.py 0 B runs code
- src/skill_studio/anthropic_client.py 1.0 KB runs code
- src/skill_studio/cli.py 13 KB runs code
- src/skill_studio/exporters/__init__.py 0 B runs code
- src/skill_studio/exporters/base.py 249 B runs code
- src/skill_studio/exporters/md_svg.py 994 B runs code
- src/skill_studio/exporters/registry.py 394 B runs code
- src/skill_studio/ingest/__init__.py 0 B runs code
- src/skill_studio/ingest/proposer.py 4.6 KB runs code
- src/skill_studio/ingest/transcript.py 12 KB runs code
- src/skill_studio/init_wizard.py 8.5 KB runs code
- src/skill_studio/interview/__init__.py 0 B runs code
- src/skill_studio/interview/combined.py 2.4 KB runs code
- src/skill_studio/interview/coverage.py 3.0 KB runs code
- src/skill_studio/interview/director.py 5.1 KB runs code
- src/skill_studio/interview/extractor.py 1.3 KB runs code
- src/skill_studio/interview/frame_suggester.py 746 B runs code
- src/skill_studio/interview/frameworks/__init__.py 456 B runs code
- src/skill_studio/interview/frameworks/forces.yaml 2.1 KB
- src/skill_studio/interview/loop.py 4.3 KB runs code
- src/skill_studio/interview/merge.py 2.7 KB runs code
- src/skill_studio/interview/modes.py 1.4 KB runs code
- src/skill_studio/interview/phases.py 649 B runs code
- src/skill_studio/interview/question_picker.py 4.1 KB runs code
- src/skill_studio/interview/subjects.py 2.6 KB runs code
- src/skill_studio/interview/updater.py 1.0 KB runs code
- src/skill_studio/llm_provider.py 2.7 KB runs code
- src/skill_studio/paths.py 1.9 KB runs code
- src/skill_studio/presets/__init__.py 721 B runs code
- src/skill_studio/presets/ai_agent.yaml 452 B
- src/skill_studio/presets/custom.yaml 415 B
- src/skill_studio/presets/knowledge_work.yaml 492 B
- src/skill_studio/presets/life_automation.yaml 467 B
- src/skill_studio/schema.py 3.2 KB runs code
- src/skill_studio/setup.py 4.3 KB runs code
- src/skill_studio/sops_helper.py 1.5 KB runs code
- src/skill_studio/storage.py 2.3 KB runs code
- src/skill_studio/synthesis.py 4.5 KB runs code
- src/skill_studio/voice/__init__.py 0 B runs code
- src/skill_studio/voice/pipecat_interview.py 18 KB runs code
- tests/__init__.py 0 B runs code
- tests/fixtures/sample_design.json 1.8 KB
- tests/test_anthropic_client.py 717 B runs code
- tests/test_bugfixes.py 2.7 KB runs code
- tests/test_cli_state_ops.py 6.6 KB runs code
- tests/test_cli.py 1.9 KB runs code
- tests/test_combined.py 2.5 KB runs code
- tests/test_coverage.py 1.0 KB runs code
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.
- 6d ago First seen · 236 lines · 184 tokens per session scan A 68b980c71a69
skill-studio is a skill published in the GitHub repository glebis/claude-skills (374 stars, last pushed 7d ago), licensed MIT. It adds 184 tokens to every session and 2,779 once invoked, about $0.0009 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 2026-09-03.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…
next-cache-components-optimizer
Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…
next-partial-prefetching-adoption
Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…