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historical-attempt-sampling

Sample successful and failed historical ClimbHill Attempts before planning new work.

Skill by closedloop-technologies

IndexedMIT★ 7
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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/closedloop-technologies-historical-attempt-sampling

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About

Sample successful and failed historical ClimbHill Attempts before planning new work. Use when prior Runs may contain reusable approaches or known failure modes.

Use cases: agent-building

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Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

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Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/historical-attempt-sampling

What's inside

Skill name
historical-attempt-sampling
Description
Sample successful and failed historical ClimbHill Attempts before planning new work. Use when prior Runs may contain reusable approaches or known failure modes.
License
MIT
Instructions
36 lines in SKILL.md · view on GitHub

Files (1)

  • SKILL.md

SKILL.md (first lines)

# Historical Attempt Sampling

Use this skill before generating a new attempt when prior ClimbHill runs exist.

## Inputs

- Current run goal
- Registry access or exported reports
- Prior attempt summaries
- Prior evaluation results
- Prior human decisions

## Procedure

1. Search prior runs with similar goals, files, failures, or evaluation patterns.
2. Sample both successful and failed attempts.
3. Extract reusable ideas, rejected approaches, brittle areas, and known constraints.
4. Identify attempt lineage that may matter: `inspired_by`, `failed_due_to`, `supersedes`, or `combined_with`.
5. Convert findings into a short plan for the next attempt.
6. Record which historical items influenced the new attempt.

## Outputs

- Sampled attempt list
- Lessons reused
- Failure patterns to avoid
- Attempt lineage notes

## Rubric

- The new attempt does not repeat known failures without justification.
- Useful partial solutions are identified.
- Human decisions are respected.
- Sources are linked to run IDs, attempt IDs, branches, commits, or reports.

From closedloop-technologies/climbhill, MIT.

More from closedloop-technologies/climbhill

Signals

Stars
7
Forks
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Open issues
1
Last commit (this folder)
Aug 20, 2026 (2 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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Cite this page

historical-attempt-sampling skill. Agent Mart. https://agentmart.dev/skills/closedloop-technologies-historical-attempt-sampling (last updated 2026-10-24)