evolve
Iteratively improve any artifact and its improvement harness, inventing evaluation when needed; supports bounded runs, tournaments and continuous resumable…
Skill by DanMcInerney
Chalk Labs
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Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/danmcinerney-evolve
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/evolve
What's inside
- Skill name
evolve- Description
- Iteratively improve any artifact and its improvement harness, inventing evaluation when needed; supports bounded runs, tournaments and continuous resumable search.
- License
- MIT
- Instructions
- 22 lines in SKILL.md · view on GitHub
Files (5)
- SKILL.md
- openai.yaml · agents/
- evaluation.md · references/
- harness.md · references/
- state.md · references/
SKILL.md (first lines)
Apply [library context](../../references/library-context.md) and required [evaluation](references/evaluation.md) and [state](references/state.md) contracts. Accept artifacts, seeds or a creation brief; purpose and constraints; optional bounds, output location and scoped settings. Infer quality criteria; clarify gaps that prevent meaningful creation or assessment. Production follows core staffing rules and evaluation's context exclusions. ## Start or resume Use the caller's directory or a distinct `evolve-runs/<run-id>/` in their workspace. Reconcile saved state and in-flight work before new work. For a new run, preserve the original or create a seed from the brief. Design, calibrate and save evaluation before challengers. Evaluate seeds, choose the incumbent (current best), and save the harness: working instructions, tools and search policy. Record bounds, scoped settings and per-experiment limits. Default to three rounds and one challenger per round. Explicit continuous requests remove the total round cap: continue until stopped, a supplied bound is reached or execution is blocked. A target stops work only if the caller says so; plateau is not completion. ## Repeat 1. **Start and choose.** Record each artifact/harness attempt under core's iteration bounds and the state contract before proposal or production. Read checkpoint/evidence; choose a hypothesis and predicted benefit. When informative rounds stop yielding promotions, change approach, investigate the repeated failure or test a harness change. 2. **Make.** Save the plan and isolated candidate locations. Supply each challenger its parent snapshot, hypothesis, active harness, public evaluation and guidance. Give it one owner; exclude incumbent, evaluation and journal from production writes. A [harness experiment](references/harness.md) replaces the ordinary round. 3. **Compare.** Freeze candidates. Apply screening, matched evaluation revisions, independent `orchflows:orch-review` judgments and confirmation. Compare every proposed replacement with the incumbent. Missing evidence, failed requirements, ties or unconfirmed wins retain the incumbent. Record failures without invented scores. 4. **Record and continue.** Journal decision/evidence, then checkpoint winner, alternatives, lessons and remaining bounds. Check stopping conditions before another round. Repair uninformative, inconsistent or exploitable evaluation between rounds under the [evaluation contract](references/evaluation.md#promotion). ## Return or yield Persist at each decision and before interruption/context rollover. Return best artifact, improvements/evaluation revision, active harness, evidence, observable resource use, actual stop reason and resume path. Separate measured, judge-preferred and untested claims. Missing execution/continuation capability requires a checkpoint and gap, not a background-execution claim. Reaching a finite bound completes the search without proving further improvement impossible.
From DanMcInerney/orchflows, MIT.
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Signals
- Stars
- 124
- Forks
- 10
- Open issues
- 0
- Last commit (this folder)
- Sep 23, 2026 (1 month ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/DanMcInerney/orchflows
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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- 0.786score
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Book a meeting into the team's calendar files under the booking policy.
SkillAFreshness: A★ 124Claude Code +9 - 0.782score
benchmaker
DanMcInerney
Build benchmarks of realistic, hard agent tasks, researched from real work, admitting only verified, shortcut-resistant, calibrated tasks and reporting how…
SkillAFreshness: A★ 124Claude Code +9 - 0.730score
gauntlet-loop
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Drive an ambitious goal past a real-world quality bar by splitting it into pieces, each looped through a builder and a fresh, harsh, blind critic until ours…
SkillBFreshness: B★ 124Claude Code +9 - 0.730score
3d-browser-game
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Build a complete Three.js game or bounded production phase through mechanics experiments, Blender assets, QA and independent playtests.
SkillBFreshness: B★ 124Claude Code +9 - 0.730score
design-loop
DanMcInerney
Develop a project endgoal through N bounded cycles of brainstorm and research, design, implementation, comparison testing and analysis.
SkillBFreshness: B★ 124Claude Code +9 - 0.730score
orchflows-review
DanMcInerney
Review Orchflows against its purpose and design principles (architecture, workflow design, wording and bugs) and apply reviewed improvements on unmerged…
SkillBFreshness: B★ 124Claude Code +9
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Cite this page
evolve skill. Agent Mart. https://agentmart.dev/skills/danmcinerney-evolve (last updated 2026-10-24)