Results for “skill-retrieval”

Build and maintain a custom project skill repertoire. Always use at new project bootstrap and when users ask for new domain capabilities. Detect active assistant folders first, recommend at least 5 skills per search batch, confirm installs, normalize install paths, and regenerate workflow files.

Use when users do not know which skill fits a task, need to search available skill catalogs, compare candidates, install a matching skill, or route work to the best existing capability.

Discovers and evaluates community skills from skills.sh and awesome-openclaw-skills when local skills don't cover a need, scoring credibility and installing top recommendations with permission.

Search existing local, marketplace, GitHub, and web skill sources before creating a new skill. Use when the user wants to create, build, fork, or find a skill for a workflow.

Searches local, marketplace, GitHub, and web sources for existing skills before creating a new one to avoid duplication.

Searches local, marketplace, GitHub, and web sources for existing skills before creating a new one, and vets external matches for safety.

Manages personal local Agent Skill files by detecting reusable material, searching for similar skills, and creating or updating SKILL.md folders after user approval.

Use this skill when you need guidance on which skill to use for any task. Recommends the perfect skill, creates skill combinations, and helps you discover capabilities you didn't know you had.

Manage, inventory, standardize, migrate, and test reusable Codex skills for the MetaSkill repository. Use when Codex needs to inspect local skills, convert a personal workflow into a public skill candidate, normalize skill folder shape, plan skill promotion, or decide whether a skill belongs in skill-management, publication-review, or skill-examples.

Sincroniza el registro central de skills con AGENTS.md y registry/AGENT_REGISTRY.md, detectando skills huérfanas o faltantes y auditando el ecosistema.

Create new skills, modify and improve existing skills, and measure skill performance through iterative evaluation and benchmarking.

Browse and search all available skills, grouped by workflow stage or activity type

Generates four improved variations of any installed skill, scores them against a weighted rubric, and applies the winning version while preserving the original.

Searches local, marketplace, GitHub, and web sources for existing skills before creating a new one, then ranks and vets candidates to avoid duplication.

Identify skill coverage gaps and improvement opportunities. Use when analyzing missing skills for a task, creating skill gap issues, evaluating skill effectiveness, or refining skill progressive disclosure.