Six task workflows distributed with DevChain for technical writing, code changes, project Skills and remote VM setup.
スキルを探す
ウェブサイト、画像、プレゼンテーション、動画のためのオリジナルワークフロー。
ai-agents skill for Claude AI. Grade A. Anime and cel-shaded art direction for Blender with hard color breaks, toon shaders, clean silhouettes, and anime proportion language.
ai-agents skill for Claude AI. Grade A. Design product packaging with shelf impact, structural basics, regulatory requirements, and dielines.
ai-agents skill for Claude AI. Grade A. Analyze spreads, over/unders, prop bets. Historical trends, situational stats, value bet identification. For entertainment/education only.
ai-agents skill for Claude AI. Grade A. Use when creating new skills, editing existing skills, or verifying skills work before deployment
ai-agents skill for Claude AI. Grade A. The narrative-craft layer -- apply story structure (tension, transformation, resolution) to make any social content stick and travel. Use when someone wants to tell their brand/founder/customer story, make a flat post land, build an emotional or narrative-driven piece, or structure a story across formats. Uses the BEATS framework. Reads brand-profile + voice-builder first. The agent finds the real story, structures the arc (setup -> turning point -> payoff; audience = hero, brand = guide), an...
ai-agents skill for Claude AI. Grade A. Make paper cut-out / stop-motion style animated videos (MP4) with code — handmade construction paper, cardstock, kraft, felt and tissue pieces with scissor-cut or torn edges and soft drop shadows, photographed on a table under a warm lamp; jointed paper puppets with brass split-pin joints, moving in 12 fps steps. Canvas 2D rendered frame by frame in headless Chrome, encoded with ffmpeg. Use when a reference video or brief calls for paper craft, cut-paper, papercraft, stop-motion paper, kids' ...
ai-agents skill for Claude AI. Grade A. Coaches a language learner with a CEFR-targeted plan built on comprehensible input, spaced repetition, and early speaking practice, including daily minimums, a session template, and a weekly schedule. Use when someone says "help me learn Spanish", "I keep forgetting vocabulary", "how do I get from A2 to B1", or "design my daily language routine". Do NOT use for general exam or academic study techniques - use study-system instead.
ai-agents skill for Claude AI. Grade A. This page used to hold an archived copy of this skill. The archive now lives in the registry's data repository. - [Archived SKILL.md (snapshot from 2026-10-08)](https://github.com/majiayu000/claude-skill-registry-data/blob/a21980a5b576646393ed574f158d7dd92fae4c3f/creative/pixel-art/SKILL.md) - [Find this skill in Claude Skills Registry](https://majiayu000.github.io/claude-skill-registry/?q=pixel-art) - [Request removal](https://github.com/majiayu000/claude-skill-registry-core/issues/new?templ...
Generate Claude Code agent definitions with role, tool and MCP configuration.
Review a DevChain project’s enabled Skills and propose changes using usage data and project specifications.
ai-agents skill for Claude AI. Grade A. Act as a complete, evidence-based personal trainer AND nutritionist coach for one athlete. Programmes training with RPE-based progressive overload, logs sessions, tracks progress, calculates nutrition targets (TDEE/macros), builds meal plans, and maintains a persistent athlete profile + lift log across conversations. Use whenever the user wants: a training programme, to log a workout, progress/plateau analysis, an exercise swap or deload, calorie/macro targets, a meal plan, fat-loss/cutting a...
Claude-Mem
Persistent memory for coding agents, with 21 curated workflows for recall, code exploration, planning, reviews, reports, and integrations. Install the upstream plugin; hosted memory and model usage may cost extra.
Fourteen task workflows for Claude Code, spanning agent creation, development, research, marketing and administration.
ai-agents skill for Claude AI. Grade A. A comprehensive collection of Agent Skills for context engineering, harness engineering, multi-agent architectures, and production agent systems. Use when building, optimizing, evaluating, or debugging agent systems that require effective context management and reliable operating loops.
ai-agents skill for Claude AI. Grade A. General Blender workflow skill for AI agents working with .blend, .fbx, .obj, .glb, glTF, materials, scene inspection, bpy automation, headless Blender batch runs, export/reimport validation, previews, and optional Blender MCP control. Use when a task asks to open, inspect, create, automate, convert, optimize, render, or verify Blender or 3D asset files in a user-agnostic way.
Matt Pocock Skills
Engineering and productivity workflows by Matt Pocock, covering planning, architecture, coding, review, research, writing, and learning.
ai-agents skill for Claude AI. Grade A. Conducts deep competitor, product, and pricing teardowns using web browsing and market intelligence. Analyzes positioning, pricing packaging, customer friction, sentiment on Reddit/X, and architectural vulnerabilities. Use for /teardown, "analyze competitor", or competitor teardown.
ai-agents skill for Claude AI. Grade A. Simulate an interview panel as agents that design questions, score independently on anchored rubrics, and reconcile in a debrief. Use when you want to pressure-test a hiring loop, calibrate rubrics, or dry-run questions, not to score a real candidate.
Configure Jev decision workflows or an explicitly selected host-agent simulation.
ai-agents skill for Claude AI. Grade A. Bootstrap the Roblox skill pack in a game project by injecting a `## Roblox Skills` block into CLAUDE.md — the full game-development lifecycle map, every skill's purpose, use case, and trigger words, and the next-skill routing so each skill ends by telling the user what to run next. Also records the project's tracker (GitHub issues or local roadmap), triage labels, and UI design artifact layout. Run once when setting up a Roblox project, or if the skills seem to be missing lifecycle, tracker,...
Compare parallel approaches to one task and combine the strongest findings.
Four concise guidelines for AI coding agents: surface assumptions, keep solutions simple, make focused changes and define verifiable goals.
Coordinate hierarchical multi-agent work with file-based state and project task utilities.

