AI-optimized browser automation CLI with context-efficient snapshots. Use for long autonomous sessions, self-verifying workflows, video recording, and cloud browser testing (Browserbase).
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Apply step-by-step analysis for complex problems with revision capability. Use for multi-step reasoning, hypothesis verification, adaptive planning, problem decomposition, course correction.
中文简介正在准备中。当前显示原文说明。
查看安装方法安装前可以查看交给 AI 代理的指令内容。
Output style: Follow
process/development-protocols/communication-standards.md— answer-first, plain language, no unexplained jargon, TL;DR on long responses.
Structured problem-solving via manageable, reflective thought sequences with dynamic adjustment.
Thought 1/5: [Initial analysis]
Adjust dynamically as understanding evolves.
Thought 5/8 [REVISION of Thought 2]: [Corrected understanding]
- Original: [What was stated]
- Why revised: [New insight]
- Impact: [What changes]
Thought 4/7 [BRANCH A from Thought 2]: [Approach A]
Thought 4/7 [BRANCH B from Thought 2]: [Approach B]
Compare explicitly, converge with decision rationale.
Thought 6/9 [HYPOTHESIS]: [Proposed solution]
Thought 7/9 [VERIFICATION]: [Test results]
Iterate until hypothesis verified.
Mark final: Thought N/N [FINAL]
Complete when:
Explicit: Use visible thought markers when complexity warrants visible reasoning or user requests breakdown.
Implicit: Apply methodology internally for routine problem-solving where thinking aids accuracy without cluttering response.
Optional scripts for deterministic validation/tracking:
scripts/process-thought.js - Validate & track thoughts with historyscripts/format-thought.js - Format for display (box/markdown/simple)See README.md for usage examples. Use when validation/persistence needed; otherwise apply methodology directly.
Load when deeper understanding needed:
references/core-patterns.md - Revision & branching patternsreferences/examples-api.md - API design examplereferences/examples-debug.md - Debugging examplereferences/examples-architecture.md - Architecture decision examplereferences/advanced-techniques.md - Spiral refinement, hypothesis testing, convergencereferences/advanced-strategies.md - Uncertainty, revision cascades, meta-thinking还没有评价。欢迎分享你的使用感受。
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AI-optimized browser automation CLI with context-efficient snapshots. Use for long autonomous sessions, self-verifying workflows, video recording, and cloud browser testing (Browserbase).
中文简介正在准备中。当前显示原文说明。
Evaluate 4 execution strategies (sequential, parallel-subagents, workflow, agent-team) for a phase or fan-out task. Outputs 7-signal score table, agent count math, cost guards, and strategy recommendation.
中文简介正在准备中。当前显示原文说明。
Audit project context routing, shared-skill discoverability, and Claude/Codex wiring. Use when context docs or skill surfaces move, split, or drift.
中文简介正在准备中。当前显示原文说明。
Audit active project plan files for staleness, completion, and routing truth. Use when cleaning up plans, reconciling active work, or archiving completed artifacts.
中文简介正在准备中。当前显示原文说明。
Audit agent harness health: Claude/Codex agent parity, skill registry consistency, README.md sync, and protocol file wiring. Use when agents, skills, README.md, or development-protocol files move, split, or drift.
中文简介正在准备中。当前显示原文说明。
Emit and validate the provisional goal block for Autopilot Mode. Owns the 9-field format and resume detection from a pasted goal block.
中文简介正在准备中。当前显示原文说明。