Learnprompt cc Harness Skills
---
repo: LearnPrompt/cc-harness-skills
url: https://github.com/LearnPrompt/cc-harness-skills
content_timestamp: 2026-05-31
time_slice: 2026-05
timestamp_source: web_observed_public_github_page_2026_05_31
collected_at: 2026-05-31T01:21:52+08:00
source: github
---
## GitHub - LearnPrompt/cc-harness-skills: LearnPrompt/cc-harness-skills curates reusable harness playbooks for Codex and Claude Code workflows, emphasizing skill reuse over one-off prompts.
**Source**: https://github.com/LearnPrompt/cc-harness-skills
---
# Raw public page capture notes
This raw-style public GitHub page capture was recorded by the hourly public metadata update. Shell GitHub API access failed DNS resolution and local GitHub CLI auth was invalid, so freshness is web-observed rather than API-verified.
## Visible repository metadata
- Repository: LearnPrompt/cc-harness-skills
- URL: https://github.com/LearnPrompt/cc-harness-skills
- Stars: 217
- Forks: 63
- Commits: 2
- License: MIT
- Primary language / stack signal: Markdown/Harness Skill Playbooks/Codex-Claude Workflows
- Collection timestamp: 2026-05-31T01:21:52+08:00
## Visible README / page excerpts
- README presents practical Codex and Claude Code skill files for recurring engineering workflows.
- Repository structure centers on reusable harness skills instead of a single app runtime.
- Public page snapshot showed 217 stars, 63 forks, and 2 commits.
- Counts were taken from the public GitHub page without authenticated API claims.
## Raw capture boundary
No benchmark was run, no source clone was modified, and no private or authenticated metadata was used. This file preserves public page evidence for downstream classification, model-card analysis, public reports, and the site index.when to use it
Community prompt sourced from the open-source GitHub repo Shiyao-Huang/awesome-agent-evolution (MIT). A "Learnprompt cc Harness Skills" style prompt — adapt the placeholders and specifics to your task. Imported as-is and not independently retested here, so check the output before relying on it.
tags
roleplaycommunitygeneral
source
Shiyao-Huang/awesome-agent-evolution · MIT