按命令族和 profile 选择合适的 OpenClaw CLI 命令,并校验执行结果。
记忆
Hermes Agent
Turn OpenClaw into a learning-loop agent with seeded workspace rules, skill promotion, reflective memory, and proactive maintenance.
它能做什么
User wants OpenClaw to feel more persistent, more self-correcting, and more proactive across sessions. Agent handles workspace seeding, reflective memory, repeated-workflow capture, and promotion of reusable patterns into future skills or stable rules.
技能文档
When to Use
User wants OpenClaw to feel more persistent, more self-correcting, and more proactive across sessions. Agent handles workspace seeding, reflective memory, repeated-workflow capture, and promotion of reusable patterns into future skills or stable rules.
Architecture
Memory lives in ~/hermes-agent/. If ~/hermes-agent/ does not exist, run setup.md. See memory-template.md for structure.
~/hermes-agent/
|-- memory.md # HOT: current rules, active signals, stable lessons
|-- promotions.md # Candidate workflows that may graduate into skills
|-- reflections.md # Recent post-task reflections
|-- workspace-state.md # Which OpenClaw files were extended and how
`-- archive/ # Cold lessons and retired patterns
Quick Reference
| Topic | File |
|---|---|
| Setup guide | setup.md |
| Memory template | memory-template.md |
| Loop design | loop.md |
| OpenClaw seed blocks | openclaw-seed.md |
| Skill promotion rules | promotion.md |
Core Rules
1. Seed OpenClaw Non-Destructively
- Extend AGENTS.md, SOUL.md, or HEARTBEAT.md only with additive blocks.
- Never replace the whole file, remove unrelated lines, or rewrite the user's persona.
- If a seed block already exists, refine only the smallest relevant section.
2. Retrieve Before Non-Trivial Work
- Before any multi-step, failure-prone, or repeated workflow, read
~/hermes-agent/memory.md. - Then read at most one extra Hermes support file unless the task clearly needs more.
- Do not load the full Hermes stack "just in case".
- Skip Hermes retrieval for trivial one-shot replies, small factual answers, or casual chat.
3. Reflect Immediately After Significant Work
- After meaningful execution, compare intent, outcome, and friction.
- Write one concise reflection to reflections.md when the lesson is reusable.
- If the lesson changes future behavior, also distill it into memory.md.
4. Promote Repetition Into Stable Capability
- If the same workaround, pattern, or procedure succeeds three times, log it in promotions.md.
- If the pattern is broad and reusable, recommend turning it into a dedicated skill.
- If the pattern only sharpens current behavior, keep it as a workspace rule instead.
5. Keep Memory Bounded and Operational
- memory.md stays short, current, and execution-oriented.
- Move stale or superseded lessons to
archive/. - Prefer one strong rule over five similar notes.
- Prefer AGENTS.md for routing rules, SOUL.md for tone pressure, and HEARTBEAT.md for periodic maintenance. Do not duplicate the same rule in all three.
6. Respect Local Boundaries
- Store only operational lessons, preferences, and workflow decisions.
- Never store credentials, secrets, payment data, health data, or copied transcripts.
- Never modify
SKILL.mdor claim native OpenClaw hooks that do not exist.
Common Traps
- Treating Hermes as branding only -> OpenClaw sounds smarter, but behavior does not compound.
- Rewriting whole workspace files -> destroys user custom context and creates trust debt.
- Logging every tiny thought -> memory becomes noisy and retrieval quality drops.
- Promoting a one-off fix to a global rule -> future sessions inherit the wrong behavior.
- Creating a new skill too early -> the user gets premature complexity instead of a refined workflow.
Security & Privacy
Data that stays local:
- Lessons, reflections, workspace integration state, and promotion candidates under
~/hermes-agent/ - Additive seed blocks placed in local OpenClaw workspace files
Data that leaves your machine:
- None by this skill itself
This skill does NOT:
- make network requests
- access files outside the local OpenClaw workspace and
~/hermes-agent/ - replace the full contents of AGENTS.md, SOUL.md, or HEARTBEAT.md
- store secrets or sensitive personal data
Related Skills
Install with clawhub install if user confirms:
self-improving- capture corrections and recurring lessons so execution quality compoundsmemory- structure durable local memory for agent continuityworkflow- formalize repeated operating patterns into stable execution sequencesskill-builder- turn a proven repeated workflow into a dedicated skill package
Feedback
- If useful:
clawhub star hermes-agent - Stay updated:
clawhub sync
相关技能
把消息转发到任意 OpenAI 兼容的 AI 代理,并跨调用维持多轮会话。
每周更新的 OpenClaw 技能精选合集,14 个分类共 11211+ 个技能。
Creates, evaluates, and improves production-ready Agent Skills for ClawHub. Chooses the simplest architecture for each task, including single skills, references, scripts, routers, and skill families, then validates triggers, portability, security, dependencies, and publication readiness.
把移动端产品信号整合为可落地的待办草案,覆盖分析、计费、崩溃与商店数据。
通过 30 个内置工具驱动 Godot 4.x 编辑器,覆盖场景、节点、变换、输入模拟、截图和日志。
Iván 的更多技能
浏览全部技能执行 Git 操作(提交、分支、合并、变基、冲突解决与恢复)时强制套用安全规则。
用可量化的层级、间距、字号、配色与版式规则,绘制并诊断视觉作品。
围绕 CSS 机制排查问题并编写组件样式表,而不是凭感觉试错。
以系统方式规划并执行自学:从出口测试倒推课程,加入间隔复习与刻意练习,产出可验证的迁移证据。
针对你的 Azure 订阅,做架构设计、故障排查、安全加固与成本优化
按配置的 JDK 版本诊断 Java 与 JVM 问题(从 NPE 到容器 OOM),给出可直接套用的代码与配置。