Skillsbench

OrganizationPopular

benchflow-ai

skillsbench

SkillsBench contribution workflow. Use when: (1) Creating benchmark tasks, (2) Understanding repo structure, (3) Preparing PRs for task submission.

Overview

Publisher	benchflow-ai
Repository	`skillsbench`
Skill name	`skillsbench`
Stars	1.8K
Forks	371
Bundled files	Instructions only
License	Apache-2.0
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by benchflow-ai on GitHub. Read the source before you install it.

Installation

Install the Skillsbench AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/benchflow-ai/skillsbench/tree/main/.agents/skills/skillsbench
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/benchflow-ai/skillsbench.git /tmp/skillsbench
mkdir -p .claude/skills
cp -r /tmp/skillsbench/.agents/skills/skillsbench .claude/skills/skillsbench

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Skillsbench in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Skillsbench on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Skillsbench is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

SkillsBench

Benchmark evaluating how well AI agents use skills.

Official Resources

GitHub: https://github.com/benchflow-ai/skillsbench
BenchFlow CLI: https://github.com/benchflow-ai/benchflow

Quick Workflow

bash
# 1. Install and initialize a task
# v1.1 docs target BenchFlow 0.6.2; uv installs the current stable CLI.
uv tool install benchflow
bench tasks init <task-id>

# 2. Write files (see CONTRIBUTING.md for templates)

# 3. Validate
bench tasks check tasks/my-task
bench eval run --tasks-dir tasks/my-task --agent oracle --sandbox docker  # Must pass 100%

# 4. Test with agent (with skills)
bench eval run --tasks-dir tasks/my-task --agent claude-agent-acp \
  --model <model> --skill-mode with-skill \
  --skills-dir tasks/my-task/environment/skills/

# 5. Test WITHOUT skills
bench eval run --tasks-dir tasks/my-task --agent claude-agent-acp \
  --model <model> --skill-mode no-skill

# 6. Submit PR (see PR template)

Task Requirements

Realistic workflows people actually do
Measurably easier with skills than without
task.md prompt body and oracle/solve.sh must be human-authored
Deterministic, outcome-based verification
Skills must be generalizable and reusable

References

Full guide: CONTRIBUTING.md
Task quality rubric: task-review skill (workflow + policy/implementation rubrics)
Finding tasks: CONTRIBUTING.md#what-makes-a-good-task

Frequently asked questions

What does the Skillsbench AI skill do?

SkillsBench contribution workflow. Use when: (1) Creating benchmark tasks, (2) Understanding repo structure, (3) Preparing PRs for task submission.

Why use Skillsbench on TypingMind?

Because you install it once and use it with any model. Skillsbench is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Skillsbench in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/benchflow-ai/skillsbench/tree/main/.agents/skills/skillsbench. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Skillsbench?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Skillsbench?

As many as you like. As long as a model supports skills, you can use Skillsbench with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Skillsbench AI skill free?

Yes. It is published on GitHub by benchflow-ai under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

SkillsBench

Official Resources

Quick Workflow

Task Requirements

References

Frequently asked questions

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