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AI EngineeringPython

Discover

by evo-hq

Discover is an AI Engineering skill for Claude Code, published by evo-hq in evo.

1.4K stars105 forkson evo-hq/evoAdded 2026/08/19+1% in starsRepository updated 2026/07/17
agent-skillsautonomous-agentsautoresearchclaude-codecode-optimizationcodexevolutionary-algorithmsllm-agents
Install in seconds
Install Discover
Copy Discover into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.
terminal
npx degit https://github.com/evo-hq/evo/tree/main/plugins/evo/skills/discover ~/.claude/skills/discover

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/evo-hq/evo.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file
plugins/evo/skills/discover/SKILL.md in evo-hq/evo
Installs to
~/.claude/skills/discover
Collection
One of 8 skills cataloged from this repository
Category
AI Engineering2451 skills

What Discover does

Discover initializes an evo workspace for the current repository by exploring the codebase, proposing optimization dimensions, constructing a benchmark, and running a baseline experiment. Use it when starting a new evo run or instrumenting a project for autonomous optimization.

Discover is cataloged under AI Engineering on DirSkills. Discover comes from a repository tagged agent-skills, autonomous-agents, autoresearch, claude-code and code-optimization.

Documentation

README

Discover

Internal procedure for evo:discover. The user only sees the user-facing prompts, the dashboard URL, and the baseline score -- everything else is the agent's choreography.

Evo surface

General guidance on the skills and tools available in evo. Each line is a triggering condition: if you're about to do X, pull/dispatch/read this. Don't preload -- act when the trigger fires.

Always have a sense of the skill before jumping into its references. A skill body carries the decision-making; references are concrete contracts that assume a decision has been made.

This is the opening of the README. Read the full README on GitHub.

Commands Discover provides

Slash commands named in this skill’s SKILL.md, listed in the order they first appear.

  • /optimize

Frequently asked about Discover

  • What else does evo-hq publish alongside Discover?

    Discover is one of 8 skills that DirSkills catalogs from evo-hq/evo, the repository it ships in. Its siblings there include Evo Report, Evo Subagent Protocol and Finetuning. Each one is a separate skill with its own page in this directory, installs the same way Discover does, and is maintained by evo-hq in that same repository. The rest of the collection is listed on the evo-hq/evo page.

  • How does Discover compare to other AI Engineering skills?

    Discover ranks #1067 by stars among the 2451 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Discover against them. Open each page to compare what they document and how they install.

More from evo-hq/evo

Discover is one of 8 skills cataloged on DirSkills from evo-hq/evo.

See all 8 skills
📊
2w ago

Evo Report

Evo Report provides read-only reports from recorded evo workspace state, including score charts, frontier candidates, and status summaries. Use it when someone asks what happened overnight, what improved, or wants a quick chart without opening the dashboard.
Data
1.4K105
🤖
2w ago

Evo Subagent Protocol

Evo Subagent Protocol defines the brief shape and execution loop that evo optimization subagents follow when dispatched from /optimize. Orchestrators use it to write valid briefs and debug subagent behavior; subagents use it to drive required verifier checks and read-edit-run iteration.
AI Engineering
1.4K105
🎯
2w ago

Finetuning

Finetuning selects or diagnoses a training move—SFT, LoRA, DPO/KTO/ORPO, RFT, GRPO/PPO/RLOO, RLHF—based on reward shape and literature, then gates runs with smoke tests, early stopping, and diagnostics. Use it when fine-tuning, post-training, reward design, or weight updates come up.
AI Engineering
1.4K105
⚙️
2w ago

Infra Setup

Infra Setup guides switching the evo backend between local worktrees, pool slots, and remote providers like Modal, E2B, or SSH. It checks prerequisites, verifies auth, and shows the exact config commands so experiments run on the intended infrastructure.
DevOps
1.4K105
🧪
2w ago

Optimize

Optimize drives structured autoresearch iteration after evo:discover and the baseline commit, orchestrating subagents to run experiments and improve the current best frontier. Use it when the user invokes /evo:optimize or asks to try ideas, variants, or continue an evo search.
AI Engineering
1.4K105
🧬
2w ago

Optimize

Optimize runs the evo optimization loop with parallel subagents until interrupted or the stall limit is reached. Use it after a baseline experiment is committed to evolve code changes against benchmarks and prune dead branches.
AI Engineering
1.4K105