planAuto-learns when to plan vs execute directly. Adapts planning depth to task type. Improves strategy through outcome tracking.
Install via ClawdBot CLI:
clawdbot install ivangdavila/planGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated Mar 1, 2026
A development team uses the Plan skill to handle new feature requests, especially those with multiple components like API design, database changes, and frontend updates. It helps decide between one-shot execution for minor tweaks and detailed planning for complex features, ensuring interfaces are defined before coding to avoid rework.
A financial institution employs the Plan skill for migrating sensitive customer data between systems. It defaults to high-stakes planning (L4) with human validation, using strategies like dry-runs and staged rollouts to minimize risks and ensure compliance, tracking outcomes to refine future migration plans.
A marketing team applies the Plan skill to launch multi-channel campaigns involving content creation, social media, and analytics. It assesses signals like dependencies and estimated time to choose planning levels, from quick checklists for routine posts to detailed plans for high-stakes product launches, optimizing based on past successes.
A healthcare R&D unit uses the Plan skill for exploratory projects, such as developing new medical protocols. It prevents open-ended research by setting timeboxed exploration with checkpoints, adapting planning depth to novelty and stakes, and tracking outcomes to improve strategy for future studies.
An IT operations team leverages the Plan skill for deploying new infrastructure, like server upgrades or cloud migrations. It evaluates risks and dependencies to select planning levels, from L0 for trivial updates to L4 for high-stakes deployments, ensuring rollback steps are included and learning from each outcome to streamline processes.
Offer the Plan skill as part of a subscription-based AI tool for project management and task automation. Revenue comes from monthly or annual fees, with tiers based on features like advanced outcome tracking and integration capabilities, targeting teams in tech and consulting.
Provide consulting services to help organizations implement the Plan skill into their workflows, including custom strategy development and training sessions. Revenue is generated through project-based fees and ongoing support contracts, focusing on industries with complex projects like finance and healthcare.
License the Plan skill as an enterprise-grade solution integrated into existing platforms like Jira or Asana. Revenue comes from one-time licensing fees or annual enterprise agreements, with add-ons for analytics and compliance features, targeting large corporations in regulated sectors.
💬 Integration Tip
Integrate the Plan skill into existing project management tools via APIs to auto-trigger planning decisions based on task metadata, and set up webhooks for real-time outcome tracking to feed into learning algorithms.
Scored Apr 18, 2026
Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.
Give your AI agent eyes to see the entire internet. 7500+ GitHub stars. Search and read 14 platforms: Twitter/X, Reddit, YouTube, GitHub, Bilibili, XiaoHongS...
A self-evolution engine for AI agents. Analyzes runtime history to identify improvements and applies protocol-constrained evolution. Communicates with EvoMap...
Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.
Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express...
Meta-agent skill for orchestrating complex tasks through autonomous sub-agents. Decomposes macro tasks into subtasks, spawns specialized sub-agents with dynamically generated SKILL.md files, coordinates file-based communication, consolidates results, and dissolves agents upon completion. MANDATORY TRIGGERS: orchestrate, multi-agent, decompose task, spawn agents, sub-agents, parallel agents, agent coordination, task breakdown, meta-agent, agent factory, delegate tasks