一键在 Manus 中运行任何 Skill

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project-agent-learning

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更新时间2026年6月18日 01:43

Capture reviewable agent-learning findings for this repository after meaningful sessions.

安装

用 Codex 或 Claude 帮你安装复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。

在 Manus 中运行

来源

voku

voku/agent-learning

打开 GitHub 仓库查看创作者相关仓库

下载

在 Manus 中运行

Project Agent Learning

Use this wrapper around agent-learning-consumer at task close-out, or when the user asks the agent to preserve a durable workflow lesson.

Fast Path

Read this repository's learning root README and infra/doc/agent-learning/config.json.
Check existing memory, skills, docs, and constraints before writing a new finding.
Capture only durable signals: user corrections, repeated failures, missed validation, repo rules, or hard-constraint candidates.
Default first occurrences to ADD_LEARNING_NOTE; use IGNORE for praise, summaries, and one-off task details.
Require pattern_key and validation_case.given / when / then for every non-IGNORE learning.
Run vendor/bin/agent-learning validate --root infra/doc/agent-learning.
Hand off durable guidance edits to project-agent-guidance-maintenance; do not self-approve promotions.

Commands

vendor/bin/agent-learning validate --root infra/doc/agent-learning
vendor/bin/agent-learning prepare --root infra/doc/agent-learning --task PROJECT-123
vendor/bin/agent-learning proposal-validate --root infra/doc/agent-learning --proposal proposal.2026-06-15.001.json

同仓库更多 Skills

同仓库

agent-learning-ctx-evidence

voku/agent-learning

Use ctx-backed local agent-history search as bounded evidence references while creating, validating, or consolidating voku/agent-learning findings.

2026-07-062

agent-learning-consumer

voku/agent-learning

Set up and operate voku/agent-learning in a consuming repository, including learning-root config.json, findings, proposals, consolidation prompts, validation, and lifecycle commands. Use for end-user learning-loop workflows, not package source development.

2026-06-182

agent-learning-maintainer

voku/agent-learning

Maintain voku/agent-learning package source, tests, docs, CLI behavior, configurable paths, constraint lifecycle code, and local vendor syncs in consuming projects.

2026-06-182

project-agent-guidance-maintenance

voku/agent-learning

Maintain repository-owned agent skills, memory, docs, and installed copies after reviewed durable learnings.

2026-06-182

project-context-rule

voku/agent-learning

Turn stable repository guidance into local executable constraints such as static-analysis rules, tests, or CI checks.

2026-06-182

agent-hard-constraint-author

voku/agent-learning

Turn validated agent-learning findings into human-approved executable constraints such as PHPStan rules, PHP-CS-Fixer rules, tests, or CI checks, with generation packages, manifests, fixtures, and validation evidence.

2026-06-152

name	project-agent-learning
description	Capture reviewable agent-learning findings for this repository after meaningful sessions.

Project Agent Learning

Use this wrapper around agent-learning-consumer at task close-out, or when the user asks the agent to preserve a durable workflow lesson.

Fast Path

Read this repository's learning root README and infra/doc/agent-learning/config.json.
Check existing memory, skills, docs, and constraints before writing a new finding.
Capture only durable signals: user corrections, repeated failures, missed validation, repo rules, or hard-constraint candidates.
Default first occurrences to ADD_LEARNING_NOTE; use IGNORE for praise, summaries, and one-off task details.
Require pattern_key and validation_case.given / when / then for every non-IGNORE learning.
Run vendor/bin/agent-learning validate --root infra/doc/agent-learning.
Hand off durable guidance edits to project-agent-guidance-maintenance; do not self-approve promotions.

Commands

vendor/bin/agent-learning validate --root infra/doc/agent-learning
vendor/bin/agent-learning prepare --root infra/doc/agent-learning --task PROJECT-123
vendor/bin/agent-learning proposal-validate --root infra/doc/agent-learning --proposal proposal.2026-06-15.001.json