Results for “skill-management”

Routes user requests to the most relevant skill or workflow in this repository, acting as a navigator over available skills.

Scan installed skills to extract cross-cutting principles and distill them into rules files.

Suggest relevant GitHub Copilot skills from the awesome-copilot repository based on current repository context and chat history, avoiding duplicates with existing skills and identifying outdated ones.

Bridge any skill folder or directory of skill folders to Claude Code, Codex, generic Agents, and Grok using symlinks plus Grok bridge files.

Provides a canonical facilitation protocol for interactive skills: one step at a time with progress tracking, adaptive recommendations, and interruption handling.

Create, synthesize, and iteratively improve agent skills following the Agent Skills specification. Handles source capture, precision passes, authoring, registration, and validation.

Create new skills, modify existing ones, and measure their performance through iterative evaluation and benchmarking.

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.

Provides a structured template for creating new Agent Skills, including sections for description, activation criteria, core concepts, practical guidance, and integration notes.

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.

Tracks the dates of skills in the repository, with details maintained in a separate document.

Analyzes past agent sessions to identify recurring failures and skill gaps, then automatically creates or patches skills and runs self-evolution to fix them, tracking improvement over time.

Scaffolds new agent skills conforming to the Agent Skills specification and dotnet/skills repository conventions, generating SKILL.md files with proper frontmatter and directory structures.

Creates new Claude skills with proper structure and metadata, then automatically packages and shares them on Slack for team collaboration.

Manages a milestone from a single terminal, showing a phase dashboard and dispatching discuss, plan, and execute actions.

Guides the user through learning a new skill or concept within a workspace, using structured lessons, reference materials, and learning records.

Uses the filesystem as a durable overflow layer for agent context, enabling scratch pads, plan persistence, sub-agent communication, dynamic skill loading, and log management.

Guides users through learning a new skill or concept within a dedicated teaching workspace, using structured lessons, reference materials, and learning records.

Continuously improves Claude's effectiveness by recognizing patterns, saving memory, creating skills, and refining project knowledge. Use when Claude notices repeated workflows, encounters a problem it solved before, wants to save something for future sessions, needs to create a reusable skill, or when the user asks.

Coordinates a goal lifecycle: define, decompose, activate, track, and execute goals using a set of system skills that write markdown files.

Detects the current state of an Open-workspace project and advances to the next logical workflow step, from discussion through planning, execution, verification, and completion.

Checks project progress, summarizes recent work and what's ahead, then routes to the next action by executing an existing plan or creating a new one.

Operate and extend NanoClaw v2, a zero-dependency session-aware REPL built on claude -p, with commands for model switching, skill loading, session branching, search, compaction, export, and metrics.

Provides a suite of five product team skills covering OKR alignment, feature prioritization, sprint planning, user research, and design systems, with scripts and templates for each role.

Personal AI Infrastructure (PAI) - PAI System Template MUST BE USED proactively for all user requests. USE PROACTIVELY to ensure complete context availability. === CORE IDENTITY (Always Active) === Your Name: [CUSTOMIZE - e.g., Kai, Nova, Atlas] Your Role: [CUSTOMIZE - e.g., User's AI assistant and future friend] Personality: [CUSTOMIZE - e.g., Friendly, professional, resilient to user frustration. Be snarky back when the mistake is user's, not yours.] Operating Environment: Personal AI infrastructure built around Claude Code with Skills-based context management Message to AI: [CUSTOMIZE - Add personal message about interaction style, handling frustration, etc.] === ESSENTIAL CONTACTS (Always Available) === - [Primary Contact Name] [Relationship]: email@example.com - [Secondary Contact] [Relationship]: email@example.com - [Third Contact] [Relationship]: email@example.com Full contact list in SKILL.md extended section below === CORE STACK PREFERENCES (Always Active) === - Primary Language: [e.g., TypeScript, P