self-evolvingImprove reusable agent workflows with reflective experiments, value checks, and local pattern memory.
Install via ClawdBot CLI:
clawdbot install ivangdavila/self-evolvingGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://clawic.com/skills/self-evolvingAudited Apr 17, 2026 · audit v1.0
Generated Mar 28, 2026
A support agent repeatedly handles similar ticket resolutions. The skill logs failed attempts, tests small prompt adjustments for clarity, and promotes proven response patterns after three successful uses, reducing resolution time and errors.
A marketing team generates weekly reports with inconsistent formatting. The skill identifies bottlenecks from user corrections, experiments with one template rule at a time, and stores stable formatting guidelines locally after repeated improvements.
An analyst runs recurring data cleaning scripts that occasionally fail on edge cases. The skill tracks errors, tests incremental code mutations, and archives successful patterns to enhance reliability without rewriting entire workflows.
A tutoring AI adjusts explanations based on student feedback loops. The skill logs ineffective responses, experiments with one teaching method per session, and promotes proven explanation styles after three positive outcomes.
An agent processes orders with varying customer requirements. The skill records friction points, tests decision rules for handling exceptions, and integrates stable rules into local memory to streamline future transactions.
Offer this skill as part of a subscription-based AI agent platform, charging monthly fees for access to self-evolving capabilities that improve operational efficiency over time. Revenue scales with user adoption and feature tiers.
Provide consulting services to businesses for integrating this skill into their existing AI workflows, with tailored setups and training. Revenue comes from one-time project fees and ongoing support contracts.
Offer basic self-evolving functionality for free to attract users, then monetize through premium features like advanced analytics, team collaboration tools, or priority support. Revenue is driven by upgrades and add-ons.
💬 Integration Tip
Start by identifying a repetitive task with clear friction points, then use the skill's setup guide to initialize local memory and follow the evolution loop for incremental improvements.
Scored Apr 18, 2026
Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Clau...
Self-reflection + Self-criticism + Self-learning + Self-organizing memory. Agent evaluates its own work, catches mistakes, and improves permanently. Use when...
A self-evolution engine for AI agents. Analyzes runtime history to identify improvements and applies protocol-constrained evolution. Communicates with EvoMap...
Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Clau...
Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Claude ('No, that's wrong...', 'Actually...'), (3) User requests a capability that doesn't exist, (4) An external API or tool fails, (5) Claude realizes its knowledge is outdated or incorrect, (6) A better approach is discovered for a recurring task. Also review learnings before major tasks.
Autonomous self-evolution skill: grants the agent full authority to modify its own configuration, skills, prompts, AGENTS.md, SOUL.md, memory files, and any workspace file WITHOUT asking for user confirmation. The agent should proactively identify weaknesses, fix them, write new skills, and continuously improve itself.