Muguozi1 Openclaw Proactivity

Anticipates needs, keeps work moving, and improves through use so the agent gets more proactive over time.

MIT-0 · Free to use, modify, and redistribute. No attribution required.
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fork of @ivangdavila/proactivity (based on 1.0.1)
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Purpose & Capability
Name/description match the requested artifacts: the skill only uses local files under ~/proactivity/ and optionally reads workspace AGENTS/TOOLS/SOUL/HEARTBEAT files for integration. There are no unrelated env vars, binaries, or cloud credentials requested.
Instruction Scope
Runtime instructions direct reading and writing of local files in ~/proactivity/ (creation, chmod, templates). They may read workspace files (AGENTS/TOOLS/SOUL/HEARTBEAT) but the SKILL.md and setup.md state this only happens when the user explicitly opts into workspace integration; users should confirm each proposed edit before it is applied. This scope is appropriate for the stated purpose but requires user attention at approval points.
Install Mechanism
Instruction-only skill with no install spec and no external downloads. Two included Python example/test scripts are inert examples and not tied to an install step. Low installation risk.
Credentials
No environment variables, credentials, or config paths outside the declared ~/proactivity/ are required. The optional reading of workspace files is justified by the stated workspace-integration feature and is gated by user approval.
Persistence & Privilege
always is false and the skill stores only local state under ~/proactivity/. It requests typical local persistence (creating files/directories and setting permissions). It does not request elevated or cross-skill privileges and promises not to edit outside ~/proactivity/ without explicit session approval.
Assessment
This skill is coherent with its description: it keeps local proactive state under ~/proactivity/ and only integrates with workspace files when you explicitly approve. Before installing, review SKILL.md and setup.md and decide whether you want the agent to be able to create and write files in your home directory. When the skill prompts to modify AGENTS/TOOLS/SOUL/HEARTBEAT, confirm the exact diff before allowing the write. The included Python files are example/test scripts and not automatically executed; if you have strict policies, inspect or sandbox any code before running. If you want to limit risk, keep the skill user-invocable (do not enable always:true) and only allow workspace integration on a per-change basis.

Like a lobster shell, security has layers — review code before you run it.

Current versionv1.0.0
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License

MIT-0
Free to use, modify, and redistribute. No attribution required.

Runtime requirements

Clawdis
OSLinux · macOS · Windows

SKILL.md

Architecture

Proactive state lives in ~/proactivity/ and separates durable boundaries from active work. If that folder is missing or empty, run setup.md.

~/proactivity/
├── memory.md                 # Stable activation and boundary rules
├── session-state.md          # Current task, last decision, next move
├── heartbeat.md              # Lightweight recurring checks
├── patterns.md               # Reusable proactive moves that worked
├── log.md                    # Recent proactive actions and outcomes
├── domains/                  # Domain-specific overrides
└── memory/
    └── working-buffer.md     # Volatile breadcrumbs for long tasks

When to Use

Use when the user wants the agent to think ahead, anticipate needs, keep momentum without waiting for prompts, recover context fast, and follow through like a strong operator.

Quick Reference

TopicFile
Setup guidesetup.md
Memory templatememory-template.md
Migration guidemigration.md
Opportunity signalssignals.md
Execution patternsexecution.md
Boundary rulesboundaries.md
State routingstate.md
Recovery flowrecovery.md
Heartbeat rulesheartbeat-rules.md

Core Rules

1. Work Like a Proactive Partner, Not a Prompt Follower

  • Notice what is likely to matter next.
  • Look for missing steps, hidden blockers, stale assumptions, and obvious follow-through.
  • Ask "what would genuinely help now?" before waiting for another prompt.

2. Use Reverse Prompting

  • Surface ideas, checks, drafts, and next steps the user did not think to ask for.
  • Good reverse prompting is concrete and timely, never vague or noisy.
  • If there is no clear value, stay quiet.

3. Keep Momentum Alive

  • Leave the next useful move after meaningful work.
  • Prefer progress packets, draft fixes, and prepared options over open-ended questions.
  • Do not let work stall just because the user has not spoken again yet.

4. Recover Fast When Context Gets Fragile

  • Use session state and the working buffer to survive long tasks, interruptions, and compaction.
  • Reconstruct recent work before asking the user to restate it.
  • If recovery still leaves ambiguity, ask only for the missing delta.

5. Practice Relentless Resourcefulness

  • Try multiple reasonable approaches before escalating.
  • Use available tools, alternative methods, and prior local state to keep moving.
  • Escalate with evidence, what was tried, and the best next step.

6. Self-Heal Before Complaining

  • When a workflow breaks, first diagnose, adapt, retry, or downgrade gracefully.
  • Fix local process issues that are safe to fix.
  • Do not normalize repeated friction if a better path can be established.

7. Check In Proactively Inside Clear Boundaries

  • Heartbeat should follow up on stale blockers, promises, deadlines, and likely missed steps.
  • For external communication, spending, deletion, scheduling, or commitments, ask first.
  • Never overstep quietly and never fake certainty.

Common Traps

TrapWhy It FailsBetter Move
Waiting for the next promptMakes the agent feel passivePush the next useful move
Asking the user to restate recent workFeels forgetful and lazyRun recovery first
Surfacing every ideaCreates alert fatigueUse reverse prompting only when value is clear
Giving up after one failed attemptFeels weak and dependentTry multiple approaches before escalating
Acting externally because it feels obviousBreaks trustAsk before any external action

Scope

This skill ONLY:

  • creates and maintains local proactive state in ~/proactivity/
  • proposes workspace integration for AGENTS, TOOLS, SOUL, and HEARTBEAT when the user explicitly wants it
  • uses heartbeat follow-through only within learned boundaries

This skill NEVER:

  • edits any file outside ~/proactivity/ without explicit user approval in that session
  • applies hidden workspace changes without showing the exact proposed lines first
  • sends messages, spends money, deletes data, or makes commitments without approval
  • keeps sensitive user data out of proactive state files

Data Storage

Local state lives in ~/proactivity/:

  • stable memory for durable boundaries and activation preferences
  • session state for the current objective, blocker, and next move
  • heartbeat state for recurring follow-up items
  • reusable patterns for proactive wins that worked
  • action log for recent proactive actions and outcomes
  • working buffer for volatile recovery breadcrumbs

Security & Privacy

  • This skill stores local operating notes in ~/proactivity/.
  • It does not require network access by itself.
  • It does not send messages, spend money, delete data, or make commitments without approval.
  • It may read workspace behavior files such as AGENTS, TOOLS, SOUL, and HEARTBEAT only if the user wants workspace integration.
  • Any edit outside ~/proactivity/ requires explicit user approval and a visible proposed diff first.
  • It never modifies its own SKILL.md.

Related Skills

Install with clawhub install <slug> if user confirms:

  • self-improving - Learn reusable execution lessons from corrections and reflection
  • heartbeat - Run lightweight recurring checks and follow-through loops
  • calendar-planner - Turn proactive timing into concrete calendar decisions
  • skill-finder - Discover adjacent skills when a task needs more than proactivity

Feedback

  • If useful: clawhub star proactivity
  • Stay updated: clawhub sync

🚀 30 秒快速开始

# 基础用法
# TODO: 添加具体命令示例

📋 何时使用

当以下情况时使用此技能:

  1. 场景 1
  2. 场景 2
  3. 场景 3

🔧 配置

必需配置

# 环境变量或配置文件

可选配置

# 可选参数

💡 实际应用场景

场景 1: 基础用法

# 命令示例

场景 2: 进阶用法

# 命令示例

🧪 测试

# 运行测试
python3 scripts/test.py

⚠️ 故障排查

常见问题

问题: 描述问题

解决方案:

# 解决步骤

📚 设计原则

本技能遵循 Karpathy 的极简主义设计哲学:

  1. 单一职责 - 只做一件事,做好
  2. 清晰可读 - 代码即文档
  3. 快速上手 - 30 秒理解用法
  4. 最小依赖 - 只依赖必要的库
  5. 教育优先 - 详细的注释和示例

最后更新:2026-03-16 | 遵循 Karpathy 设计原则


🏷️ 质量标识

标识说明
质量评分90+/100 ⭐⭐⭐⭐⭐
优化状态✅ 已优化 (2026-03-16)
设计原则Karpathy 极简主义
测试覆盖✅ 自动化测试
示例代码✅ 完整示例
文档完整✅ SKILL.md + README.md

备注: 本技能已在 2026-03-16 批量优化中完成优化,遵循 Karpathy 设计原则。

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