Orchestrate curation, promotion, and demotion of agent learnings and project rules.
npx skills add https://github.com/tyevans/tackline --skill tend-tyevans
Please help me install this Agent Skill. Skill: tend Source: https://github.com/tyevans/tackline/tree/main/skills/teams/tend Command: npx skills add https://github.com/tyevans/tackline --skill tend-tyevans
This Skill automates the crucial but often neglected process of maintaining and evolving agent learnings and project rules, ensuring that AI agents remain effective and that valuable patterns are codified into durable knowledge.
/curate and /promote to optimize agent learnings and graduate patterns to rules.tend to ensure all agent learnings are up-to-date with new work, audit existing project rules for relevance, and promote any newly discovered best practices into formal rules for future use.Run the tend skill to maintain agent learnings and project rules.
High-intent search queries and answers about installing and using this skill.
Maintaining agent learnings requires orchestrating curation of discoveries, auditing project rules, promoting stable patterns, and demoting stale rules to ensure continuous improvement and knowledge codification within the AI development environment.
The best way to promote stable patterns is to run an automated lifecycle process that evaluates curated agent learnings and graduates consistent discoveries into durable project rules for future use.
Auditing project rules for relevance involves assessing rule freshness, identifying stale rules, and demoting candidates for retirement to ensure project guidelines remain aligned with current development patterns.
You need to run a learning lifecycle management process after a sprint or development cycle to ensure agent learnings are updated, existing rules are audited, and new best practices are codified into formal rules.
No, this agent learning maintenance process requires no external dependencies. It operates independently to curate learnings, audit rules, and manage the promotion and demotion lifecycle within your environment.
Demoting stale project rules rather than deleting them preserves historical context while ensuring they no longer actively govern agent behavior, maintaining a clean active rule set while retaining references to past learnings.
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