Ross ROSS = Recommend OSS · open-source software intelligence for agents

sentient-agi/EvoSkill

EvoSkill — An open-source framework that automatically discovers and synthesizes reusable agent skills from failed trajectories to improve coding agent performance. observed · 2026-08-28

github.com/sentient-agi/EvoSkill · Python · Apache-2.0 (permissive) observed · 2026-08-28

Health v2 · maintenance only

78/100

  • Activity 99
  • Release rhythm 89
  • Longevity 13
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: 9.5
  • age_days: 182
  • days_rel: 78
  • days_push: 9
  • n_releases_24m: 5

Full methodology

Adoption not part of the score

1142 stars · 125 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

EvoSkill is an open-source Python framework that automatically discovers and synthesizes reusable skills from failed agent trajectories to improve coding agent performance. It extends GEPA-style feedback-driven optimization by jointly proposing skill and prompt mutations, evaluating variants on held-out data, and producing improved agent programs compatible with tools like Claude Code, Codex CLI, OpenCode, and OpenHands.

Use cases

  • automatically generate reusable skills for coding agents from failure data
  • improve Claude Code or OpenCode performance on coding benchmarks
  • evolve agent prompts and skills using any LLM provider
  • run benchmark evaluations of agent variants on held-out tasks
  • turn a general-purpose AI agent into a domain specialist

When to choose

  • you use a supported coding agent (Claude Code, OpenCode, OpenHands, Goose, etc.) and want automated skill/prompt improvement
  • you have failed agent trajectories and want to mine them into reusable skills
  • you want model-provider-agnostic agent optimization with benchmark-driven iteration

When to avoid

  • you need a general agent framework for building agents from scratch rather than optimizing existing ones
  • your agent is not among the supported integrations
  • you cannot run evaluation benchmarks or lack trajectory/failure data

Facets

framework · maturity active

agent-framework llm-training prompt-engineering benchmarking developer-tools large-language-models developer-tools python cli cross-platform skill-discovery coding-agents trajectory-mining agent-evolution claude-code opencode openhands ai-agents automation

1 source

Member repositories

RepositoryRoleHealth v2
sentient-agi/EvoSkillmain78

For agents

markdown · JSON · MCP: product_card(name="sentient-agi/EvoSkill")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem