context-engineering
claudeContext engineering for AI agents — AI-optimized second-brain skills, durable pipeline state for multi-agent handoffs, and expert prompt building.
3 skills
Engineering discipline for AI agent systems — four always-on principles, test-driven development, verification-before-completion, system-architecture playbooks, a scope-disciplined product manager, docs/-native project management, and Claude Code → GitHub Copilot agent conversion.
Plugin agent-engineering from marketplace hasbrains-agent-kit in endorphin-ai/hasbrains-agent-kit. Commands read from the repo's manifest — 30 days ago.
convert-to-copilotThis skill should be used when converting a Claude Code agent (+ its launch command + its skills) into a single GitHub Copilot agent (.github/agents/*.agent.md) with supporting context files under .copilot_utils/{agent_name}/. Load when someone says 'convert to copilot', 'make copilot agent', 'copil
docs-project-managementUniversal, project-agnostic playbook for managing an ENTIRE project inside the repo's docs/ folder — the docs/-native system of record, reusable in any project, new or existing, with no external issue tracker. Defines WHAT it manages: the work-item TAXONOMY (Roadmap → docs/ROADMAP.md + docs/roadmap.
four-principlesFour always-on engineering principles for ALL work before, during, and after coding — Think Before Coding (surface assumptions/tradeoffs, never guess silently), Simplicity First (minimum code that solves it, nothing speculative), Surgical Changes (touch only what the request needs, every changed lin
pmUniversal, project-agnostic PRODUCT MANAGER playbook — the scope-disciplined PM that plans a project, gates its launch, and says no. Five modes, one workflow each: `prd` (turn a spec or a user request into a build-ready PRD — objectives, in-scope, out-of-scope guards, an acceptance-criteria table ma
system-architectureUse when designing a system, choosing an architecture pattern, making a technology decision, or doing capacity/scalability planning — BEFORE drilling into framework-specific mechanics. A lean MAP over three reference docs: pattern selection (monolith → modular monolith → microservices → event-driven
test-driven-developmentUse when implementing any feature or bugfix, in any language or framework, before writing implementation code — write the test first, watch it fail, then write minimal code to pass. Covers the red-green-refactor loop, test-quality principles, rationalization counters, and test-layer selection.
verification-before-completionUse when about to claim work is complete, fixed, or passing, before committing or creating PRs - requires running verification commands and confirming output before making any success claims; evidence before assertions always
Context engineering for AI agents — AI-optimized second-brain skills, durable pipeline state for multi-agent handoffs, and expert prompt building.
3 skills
Live status line and agent telemetry — the active /command or skill run with a timer, per-subagent context bar, model, estimated cost, tokens, duration and tool count, plus a per-run report. Run /statusline-kit:setup once to switch the status line on.
1 skill · hooks
Multi-agent web dev pipeline — UX research and design critique around the build, plus the designer ↔ frontend contract: freeze approved mockups into a canonical oracle, port them 1:1 on any stack, and verify with screenshot-based design-diff gates.
2 skills
Content engine for technical creators — social posts and video scripts engineered around named copywriting frameworks, scroll-stopping hooks, and retention mechanics.
1 skill
Interactive AI teaching pipeline — /repo-to-course turns any codebase into a structured tutorial course (markdown, GitHub Pages site, or interactive HTML).
1 command
Output styles that change how Claude Code writes, not what it does. Ships ASD-STE100: concise, direct, technical writing based on Simplified Technical English.
Matt Pocock's agent skills for real engineering (grilling, spec/ticket flows, TDD, code review, domain modelling and more).
39 skills
Core skills library for Claude Code: TDD, debugging, collaboration patterns, and proven techniques
15 skills · hooks
Persistent memory for Claude Code: the next session starts where the last one left off.
29 skills · 1 MCP server · hooks
Open-source AI job search that runs locally in your AI coding CLI: scan job portals, evaluate listings into a structured A-H report with a 1-5 score, tailor your CV, track applications
5 skills · hooks
Cross-session memory and token savings for coding agents.
6 skills · 1 agent · 1 MCP server · hooks
Up-to-date documentation lookup. Pull version-specific documentation and code examples directly from source repositories into your coding agent's context.
1 MCP server
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