Datasets:
probe string | case_id string | tags list | prompt string | must_load list | must_not_load list | no_skill_at_all bool |
|---|---|---|---|---|---|---|
anthropic | art-flow-field | [
"positive"
] | Make a generative art piece in p5.js - particles following a Perlin-noise flow field, with a seed I can change. | [
"algorithmic-art"
] | [
"canvas-design",
"frontend-design",
"web-artifacts-builder",
"slack-gif-creator",
"academy-guide",
"discernment-nudge"
] | false |
anthropic | poster-print | [
"positive"
] | Design a poster for our jazz night on March 14 - one PNG I can print at A3. | [
"canvas-design"
] | [
"algorithmic-art",
"frontend-design",
"slack-gif-creator",
"web-artifacts-builder",
"academy-guide"
] | false |
anthropic | wall-print | [
"positive"
] | Make me a minimalist abstract print for my living room - geometric shapes, muted colors, a single image. | [
"canvas-design"
] | [
"frontend-design",
"web-artifacts-builder",
"slack-gif-creator",
"academy-guide"
] | false |
anthropic | slack-gif | [
"positive"
] | Make me a GIF of a cat typing furiously for our team Slack channel. | [
"slack-gif-creator"
] | [
"algorithmic-art",
"canvas-design",
"internal-comms",
"academy-guide"
] | false |
anthropic | frames-to-mp4 | [
"near-miss"
] | Give me the ffmpeg command to turn a folder of PNG frames into an MP4 at 24 fps. | [] | [] | true |
anthropic | landing-aesthetic | [
"positive"
] | I'm building a landing page for a coffee subscription startup. Help me choose an aesthetic direction and typography that doesn't look like every other template. | [
"frontend-design"
] | [
"canvas-design",
"algorithmic-art",
"webapp-testing",
"slack-gif-creator"
] | false |
anthropic | react-artifact | [
"positive"
] | Build me a claude.ai artifact - a multi-page project tracker in React with routing, shadcn/ui tables and filters. | [
"web-artifacts-builder"
] | [
"webapp-testing",
"mcp-builder",
"canvas-design",
"academy-guide"
] | false |
anthropic | single-html-toggle | [
"near-miss"
] | Write a single HTML file with a button that toggles dark mode. | [] | [
"web-artifacts-builder",
"webapp-testing",
"mcp-builder",
"canvas-design",
"academy-guide"
] | false |
anthropic | playwright-login | [
"positive"
] | My Flask app runs on localhost:5000. Check that the login form shows an error on a wrong password and take a screenshot. | [
"webapp-testing"
] | [
"web-artifacts-builder",
"frontend-design",
"mcp-builder",
"canvas-design"
] | false |
anthropic | pytest-unit | [
"near-miss"
] | Write pytest unit tests for this function: def slugify(s): return s.lower().replace(' ', '-') | [] | [] | true |
anthropic | mcp-jira | [
"positive"
] | Help me build an MCP server in TypeScript that wraps our Jira REST API so Claude can search and create tickets. | [
"mcp-builder"
] | [
"skill-creator",
"webapp-testing",
"web-artifacts-builder",
"academy-guide"
] | false |
anthropic | mcp-explain | [
"near-miss"
] | In two sentences: what is the Model Context Protocol? | [] | [
"mcp-builder",
"skill-creator",
"webapp-testing"
] | false |
anthropic | skill-description-fix | [
"positive"
] | My SKILL.md never triggers. The description is just "Helps with PDFs." Rewrite it so it triggers reliably, and tell me how to test that. | [
"skill-creator"
] | [
"mcp-builder",
"internal-comms",
"canvas-design"
] | false |
anthropic | skill-evals | [
"positive"
] | I have a skill that writes changelogs. Set up evals to check whether it actually improves the output, with variance across runs. | [
"skill-creator"
] | [
"mcp-builder",
"webapp-testing"
] | false |
anthropic | leadership-update | [
"positive"
] | Write this week's status update for leadership: SSO shipped, the billing migration slipped a week, two engineers hired. | [
"internal-comms"
] | [
"brand-guidelines",
"canvas-design",
"theme-factory",
"academy-guide"
] | false |
anthropic | incident-report | [
"positive"
] | Draft an incident report for yesterday's 40-minute checkout outage caused by an expired TLS certificate. | [
"internal-comms"
] | [
"webapp-testing",
"canvas-design",
"academy-guide"
] | false |
anthropic | cold-email | [
"near-miss"
] | Write a cold email to a potential customer introducing our analytics product. | [] | [
"internal-comms",
"brand-guidelines",
"canvas-design",
"academy-guide"
] | false |
anthropic | anthropic-brand | [
"positive"
] | Restyle this slide outline with Anthropic's official brand colors and fonts. | [
"brand-guidelines"
] | [
"canvas-design",
"algorithmic-art",
"internal-comms"
] | false |
anthropic | preset-theme | [
"positive"
] | Apply one of your preset themes to my quarterly report slides - something calm and blue. | [
"theme-factory"
] | [
"brand-guidelines",
"canvas-design",
"algorithmic-art"
] | false |
anthropic | claude-pricing | [
"positive"
] | What's the cheapest Claude model for classifying a million support tickets, and how do I turn on prompt caching in the Python SDK? | [
"claude-api"
] | [
"mcp-builder",
"skill-creator"
] | false |
anthropic | openai-streaming | [
"near-miss"
] | In my Python script that uses the openai package, how do I stream GPT-4o responses token by token? | [] | [
"claude-api",
"mcp-builder",
"skill-creator",
"academy-guide",
"discernment-nudge"
] | false |
anthropic | academy-start | [
"positive"
] | I'm new to Claude. How do I get started with Projects - are there any tutorials? | [
"academy-guide"
] | [
"skill-creator",
"mcp-builder",
"web-artifacts-builder"
] | false |
anthropic | capital-city | [
"none"
] | What's the capital of Australia? | [] | [] | true |
anthropic | translate-greeting | [
"none"
] | Translate "good morning, team" into Spanish. | [] | [] | true |
anthropic | rename-jpeg | [
"none"
] | Give me a bash one-liner that renames every .jpeg file in this folder to .jpg. | [] | [] | true |
superpowers | failing-test | [
"positive"
] | test_invoice_total started failing after yesterday's merge: expected 120.00, got 119.99. Fix it. | [
"systematic-debugging"
] | [
"brainstorming",
"writing-plans",
"executing-plans",
"finishing-a-development-branch",
"writing-skills",
"using-git-worktrees"
] | false |
superpowers | flaky-ci | [
"positive"
] | Our CI fails on the payment tests about once in five runs and nobody knows why. Figure it out. | [
"systematic-debugging"
] | [
"brainstorming",
"writing-plans",
"finishing-a-development-branch",
"writing-skills"
] | false |
superpowers | safari-export | [
"positive"
] | Users report that the export button does nothing in Safari. Find out why. | [
"systematic-debugging"
] | [
"brainstorming",
"writing-plans",
"requesting-code-review",
"writing-skills"
] | false |
superpowers | referral-program | [
"positive"
] | I want to add a referral program to our app. Let's think through how it should work. | [
"brainstorming"
] | [
"executing-plans",
"subagent-driven-development",
"systematic-debugging",
"finishing-a-development-branch",
"verification-before-completion",
"receiving-code-review"
] | false |
superpowers | conference-talk | [
"positive"
] | Help me plan a 20-minute conference talk about our migration to Postgres. | [
"brainstorming"
] | [
"writing-plans",
"executing-plans",
"test-driven-development",
"systematic-debugging",
"using-git-worktrees"
] | false |
superpowers | spec-to-plan | [
"positive"
] | Here's the approved spec for CSV export: columns, filters, a 50k row limit. Write the implementation plan before anyone touches code. | [
"writing-plans"
] | [
"executing-plans",
"subagent-driven-development",
"systematic-debugging",
"finishing-a-development-branch"
] | false |
superpowers | execute-inline | [
"positive"
] | The plan in docs/plan.md is approved. Implement it yourself, right here, step by step - no subagents. | [
"executing-plans"
] | [
"subagent-driven-development",
"dispatching-parallel-agents",
"writing-plans",
"brainstorming"
] | false |
superpowers | execute-with-subagents | [
"positive"
] | The plan is approved and its six tasks are independent. Execute it in this session with a fresh subagent per task. | [
"subagent-driven-development"
] | [
"executing-plans",
"writing-plans",
"brainstorming"
] | false |
superpowers | parallel-failures | [
"positive"
] | Three unrelated test files fail - auth, billing and search, each for a different reason. Investigate them in parallel. | [
"dispatching-parallel-agents"
] | [
"writing-plans",
"brainstorming",
"executing-plans",
"finishing-a-development-branch"
] | false |
superpowers | receive-review | [
"positive"
] | The reviewer says I should replace our retry loop with a library and that my lock is unnecessary. I'm not convinced. Here are the comments - let's go through them. | [
"receiving-code-review"
] | [
"requesting-code-review",
"brainstorming",
"writing-plans"
] | false |
superpowers | request-review | [
"positive"
] | I've finished the rate limiter. Before I merge, have it reviewed against the requirements. | [
"requesting-code-review"
] | [
"receiving-code-review",
"brainstorming",
"systematic-debugging"
] | false |
superpowers | claim-done | [
"positive"
] | Done fixing the date parser. Commit it and open the PR. | [
"verification-before-completion"
] | [
"brainstorming",
"writing-plans",
"systematic-debugging",
"receiving-code-review"
] | false |
superpowers | finish-branch | [
"positive"
] | All tasks on feature/export are done and tests pass. Should I merge to main, open a PR, or something else? | [
"finishing-a-development-branch"
] | [
"brainstorming",
"systematic-debugging",
"writing-plans",
"receiving-code-review"
] | false |
superpowers | isolated-workspace | [
"positive"
] | I need to start the export feature without disturbing my uncommitted work on main. Set up an isolated workspace. | [
"using-git-worktrees"
] | [
"finishing-a-development-branch",
"systematic-debugging",
"receiving-code-review"
] | false |
superpowers | iban-validator | [
"positive"
] | Add a function that validates IBANs to utils/banking.py. | [
"test-driven-development"
] | [
"systematic-debugging",
"finishing-a-development-branch",
"receiving-code-review",
"writing-skills"
] | false |
superpowers | new-skill | [
"positive"
] | Write a new skill that teaches the agent our SQL migration conventions. | [
"writing-skills"
] | [
"writing-plans",
"systematic-debugging",
"executing-plans"
] | false |
superpowers | diagnose-session | [
"positive"
] | That last agent session went badly: it ignored the plan and redid the same work twice. Why did that happen? I want to file a bug report with the superpowers maintainers. | [
"diagnosing-superpowers"
] | [
"writing-plans",
"executing-plans",
"requesting-code-review",
"brainstorming"
] | false |
superpowers | http-418 | [
"none"
] | What does HTTP status 418 mean? | [] | [] | true |
superpowers | mutex-vs-semaphore | [
"none"
] | Explain the difference between a mutex and a semaphore. | [] | [] | true |
superpowers | rebase-pushed-branch | [
"none"
] | Is it safe to rebase a branch I've already pushed? | [] | [] | true |
superpowers | rename-variable | [
"near-miss"
] | Rename the variable usr to user in this function: def greet(usr): return f'Hi {usr}' | [] | [] | true |
Agent skill routing golden set
A labeled golden set for agent-skill routing: 46 requests, each labeled with which SKILL.md must load and which must not, over 28 real public skills from anthropics/skills and obra/superpowers — plus 627 recorded trials on five model families. When 14 skills compete for one request, does the model pick the right one?
Built and run with skilldx (formerly skillprobe), an eval harness for agent skills.
What is inside
| config | rows | fields |
|---|---|---|
cases |
46 | probe, case_id, tags, prompt, must_load, must_not_load, no_skill_at_all |
skills |
28 | probe, name, description (verbatim frontmatter), source_repo, source_commit, license |
trials |
627 | probe, model, case_id, repeat, passed, loaded_skills, input_tokens, output_tokens |
probe is anthropic (14 skills, 25 cases) or superpowers (14 skills, 21 cases). A model sees only the skills' names and descriptions and loads a skill through a tool call, the way agent harnesses expose skills; a trial is the model's first turn (routing_only), 3 repeats per case.
Labels
must_load is the skill whose own description names the request; must_not_load lists skills whose description excludes it or that clearly belong elsewhere; skills a case does not mention are plausible co-loads and are not scored. no_skill_at_all marks requests that should load nothing. The full rules: LABELS.md. One labeler — disagree with a label, change it and rerun skilldx with --cache-only: the report rebuilds from the recorded responses for free.
Results in the trials
| probe | model | passed |
|---|---|---|
| anthropic | deepseek/deepseek-v4.1-flash | 75/75 |
| anthropic | moonshotai/kimi-k3 | 74/75 |
| anthropic | openai/gpt-5.6-luna | 72/75 |
| anthropic | qwen/qwen3.8-flash | 74/75 |
| anthropic | z-ai/glm-5.3-flash | 75/75 |
| superpowers | deepseek/deepseek-v4.1-flash | 60/63 |
| superpowers | openai/gpt-5.6-luna | 59/63 |
| superpowers | qwen/qwen3.8-flash | 61/63 |
| superpowers | z-ai/glm-5.3-flash | 59/63 |
The misses are not random — every one traces back to how a description is written. "Add a function that validates IBANs" went to brainstorming ("You MUST use this before any creative work") in 12 of 12 trials, not to test-driven-development. Analysis: Routing across 28 public skills.
Use
from datasets import load_dataset
cases = load_dataset("alex7604/agent-skill-routing", "cases", split="train")
trials = load_dataset("alex7604/agent-skill-routing", "trials", split="train")
Sources and licenses
Skill names and descriptions are copied verbatim from their repositories at the commits in skills.source_commit and keep their licenses: Apache-2.0 (anthropics/skills) and MIT (obra/superpowers). The cases, labels and trial records are by Andrey Sukhanov under CC BY-NC 4.0.
Contact: avsukhanov21@gmail.com · GitHub · LinkedIn
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