← 返回 Skills 市场
jhillin8

Build Discipline

作者 jhillin8 · GitHub ↗ · v1.0.0
cross-platform ⚠ suspicious
2231
总下载
1
收藏
3
当前安装
1
版本数
在 OpenClaw 中安装
/install build-discipline
功能描述
Build unbreakable discipline with habit stacking, streak tracking, and accountability
使用说明 (SKILL.md)

Build Discipline

Become consistently excellent through habit stacking, streak tracking, and real-time accountability.

What it does

This skill transforms discipline from willpower (finite) into systems (infinite). It works by:

  • Commitment Tracking - Lock in your daily non-negotiables and track adherence automatically
  • Streak Systems - Visual momentum through consecutive day counters that compound motivation
  • Habit Stacking - Attach new behaviors to existing anchors (e.g., "After coffee, meditate for 5 min")
  • Willpower Management - Smart timing for hard tasks + recovery windows to prevent burnout
  • Accountability - Daily check-ins with streak status, pattern analysis, and course corrections

Usage

Set commitments

Define your non-negotiables for the day. Examples: "Sleep by 11pm", "1 hour deep work", "30 min exercise". Clawd stores these and reminds you when each window opens.

Daily check-in

Quick status update each morning: How did yesterday go? Clawd marks the streak as intact or broken, logs the data, and adjusts your difficulty curve.

Streak status

See your current streaks at a glance. Visual feedback (🔥 for hot streaks) amplifies momentum. Long streaks become identity.

Stack habits

Pair new habits with existing ones. "After brush teeth → take 3 deep breaths." Piggyback behavior change on automatic routines.

Review discipline

Weekly or monthly review: Which commitments stuck? Which broke? Patterns emerge. Clawd suggests micro-adjustments to increase success rate.

Discipline Pillars

The framework targets five foundational pillars:

Pillar Focus Example
Sleep 7-9 hrs, consistent time Bed by 11pm, wake 6:30am
Exercise Movement + strength 30 min walk or lift, 5x/week
Nutrition Whole foods, hydration 2L water, no processed sugar
Focus Blocks Deep work windows 2 hrs uninterrupted, 9-11am
Recovery Rest days, stretching 1 rest day/week, 10 min mobility

Each pillar auto-compounds when stacked together. Sleep improves focus. Exercise improves sleep. This creates a flywheel.

Tips

  1. Start with one pillar. Don't overload. Pick the one that unlocks the others (usually sleep or exercise) and nail it for 30 days before adding more.

  2. Stack, don't replace. Attach new habits to existing anchors. "After morning coffee" is stronger than "at some point today."

  3. Track the minimum. A 5-min walk beats zero. A 6-hour sleep beats staying up. Consistency > perfection.

  4. Review weekly, not daily. Daily breaks feel like failure. Weekly patterns reveal truth. Adjust Tuesday for next Monday.

  5. All data stays local on your machine. Your discipline data never leaves your device. No cloud sync, no third-party analytics, no privacy leaks. You own everything.

安全使用建议
This skill reads like a habit-tracking coach and is instruction-only (no code or installs), which is good. But before installing, ask the author: (1) Exactly where will commitments and check-ins be stored? (2) How are reminders delivered (system notifications, calendar events, emails, or external services)? (3) The SKILL.md claims "All data stays local on your machine" — request a precise implementation and permission model to verify that (no hidden cloud sync). If you allow it, test with non-sensitive dummy data first, deny calendar/notification access until you confirm behavior, and be ready to revoke the skill if it creates external network activity or asks for credentials. If the author cannot clearly explain local-only storage and the notification mechanism, treat the skill as higher risk and avoid installing it.
功能分析
Type: OpenClaw Skill Name: build-discipline Version: 1.0.0 The skill bundle consists of a metadata file (_meta.json) and a markdown file (SKILL.md) describing a 'build-discipline' skill. The SKILL.md file contains only descriptive text, usage instructions, and tips related to habit building and discipline. There is no executable code, no instructions for the AI agent to perform malicious actions (e.g., prompt injection, data exfiltration, unauthorized commands), and no high-risk behaviors. The documentation explicitly states, 'All data stays local on your machine. Your discipline data never leaves your device,' reinforcing a benign intent.
能力评估
ℹ Purpose & Capability
Name and description (habit stacking, streaks, accountability) align with the SKILL.md content. The skill makes reasonable claims for coaching and tracking, but it asserts storage and reminder behaviors without describing any mechanism (no config paths, no stated storage API, no install). That absence is disproportionate to the 'stores these and reminds you' claim.
⚠ Instruction Scope
SKILL.md gives high-level runtime behaviors (store commitments, send reminders, daily check-ins, pattern analysis) but provides no concrete boundaries or explicit allowed resources. It does not instruct reading any particular local files or env vars, yet the agent would need to access scheduling/notification/calendar or local storage to implement reminders and persistence; the wording is open-ended and grants the agent broad discretion about how to obtain context and where to store or send data.
✓ Install Mechanism
This is an instruction-only skill with no install spec and no code files — lowest risk from install. Nothing is downloaded or written by an installer.
✓ Credentials
No environment variables, credentials, or config paths are requested. That is proportionate to the stated purpose, although the SKILL.md's features imply the need for local persistence/notification access which is not declared.
ℹ Persistence & Privilege
always is false and the skill is not forced into every agent run. However, the instructions assume persistent storage and recurring reminders; because no storage location or permission model is specified, the agent may attempt to persist data in agent-managed storage or use system services. Ask how persistence and scheduled reminders are implemented before granting ongoing autonomy.
如何使用
  1. 确保已安装 OpenClaw（本地或 Docker 部署）
  2. 在对话框中输入安装命令：/install build-discipline
  3. 安装完成后，直接呼叫该 Skill 的名称或使用 /build-discipline 触发
  4. 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.0
Initial release — Habit building and discipline system - Log and track daily commitments with automated check-ins and streak counters - Use habit stacking to pair new routines with established habits - Stay motivated with visual feedback on streaks and daily momentum - Customize and review discipline pillars (sleep, exercise, nutrition, focus, recovery) - Data stays fully local for maximum privacy and security
元数据
Slug build-discipline
版本 1.0.0
许可证 —
累计安装 3
当前安装数 3
历史版本数 1
常见问题

Build Discipline 是什么？

Build unbreakable discipline with habit stacking, streak tracking, and accountability. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 2231 次。

如何安装 Build Discipline？

在 OpenClaw 或 Claude Code 对话框中运行命令「/install build-discipline」即可一键安装，无需额外配置。

Build Discipline 是免费的吗？

是的，Build Discipline 完全免费（开源免费），可自由下载、安装和使用。

Build Discipline 支持哪些平台？

Build Discipline 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。

谁开发了 Build Discipline？

由 jhillin8（@jhillin8）开发并维护，当前版本 v1.0.0。

推荐 Skills
self-improving agent
Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Clau...
⬇ 463283 · by pskoett
Skill Vetter
Security-first skill vetting for AI agents. Use before installing any skill from ClawdHub, GitHub, or other sources. Checks for red flags, permission scope, and suspicious patterns.
⬇ 259410 · by spclaudehome
Polymarket
Query Polymarket prediction markets. Check odds, find trending markets, search events, track price movements.
⬇ 232503 · by joelchance
Self-Improving + Proactive Agent
Self-reflection + Self-criticism + Self-learning + Self-organizing memory. Agent evaluates its own work, catches mistakes, and improves permanently. Use when...
⬇ 200423 · by ivangdavila
Github
Interact with GitHub using the `gh` CLI. Use `gh issue`, `gh pr`, `gh run`, and `gh api` for issues, PRs, CI runs, and advanced queries.
⬇ 191115 · by steipete
ontology
Typed knowledge graph for structured agent memory and composable skills. Use when creating/querying entities (Person, Project, Task, Event, Document), linkin...
⬇ 190156 · by oswalpalash

💬 留言讨论