These skills help an agent plan work before implementation and keep the loop visible while it changes. Members cover research, design, implementation, reviews, roadmap planning, launch work, and product office hours.
61 skills
25 engineering workflows for requirements, planning, implementation, testing, review, performance and production delivery.
Plan, delegate and review coding work through tiered Claude Code worker agents.
Plan page hierarchy, navigation, URLs and internal links for a coherent website.
Frame social-science research questions, literature maps, evidence routes and defensible claims, then review novelty and feasibility.
Develop rough ideas into implementation plans with explicit decisions and handoff details.
Plan paid campaign structure, audiences, budget allocation and optimization priorities.
Use adversarial multi-agent critique to expose weaknesses in a proposed plan.
HumanLayer workflows for visual explanations and staged research, design and implementation.
Plan portraits, couple, wedding and family photography through direction choices, looks, scene zones, poses and shot lists.
Use an Adlerian psychology framework to examine procrastination or interrupted action when you already know what you intend to do.
Work through research, design documents and implementation in user-selected phases.
Convert specifications into ordered, independently verifiable tasks with dependencies and acceptance criteria.
Turn an unclear intention into a concrete deliverable with scope, constraints, and observable acceptance criteria.
Break a feature request into an actionable implementation plan.
Plan illustrations at useful points in an article, keep the visual style consistent and insert supplied images into Markdown.
Run an iterative worker-reviewer cycle for code, specifications or writing, with actionable feedback and a bounded review loop.
Organize project rules, task context and references so coding agents receive relevant information at the right time.
Use two reasoning agents to reassess a difficult problem, investigate root causes and produce a plan.
Plan phases, resources, milestones and risks for implementation.
Review AI engineering, learning and product questions through software paradigms, building to understand and reliability engineering.
Draft human-readable usage terms and a machine-readable manifest for personal materials.
Choose, clarify, combine, or compare the relevant skills for your current task, then continue working in the same conversation.
Map large multi-session work as linked decision tickets and resolve them progressively.
Keep final artifacts, labels, commits, and handoffs focused on accepted requirements after a conversation includes corrections or discarded proposals.
Execute a written implementation plan using task-scoped implementers and reviews with a progress ledger.
Audit project rules, identify their source of truth, standardize naming, and build bridges for consistent use across agent hosts.
Create a source-based personal profile from messages and documents, with separate workflows for usage terms and handover protection.
Turn authorized messages, documents and other records into a person-profile Skill organized by work, interaction, memories and values.
Design and implement MCP servers with discoverable tools, clear schemas and task-based evaluations.
Choose marketing tactics according to product stage, budget, timeline and growth goals.
Turn a rough goal into an agent task brief with researched constraints and acceptance criteria.
Plan phased launches and coordinate owned, rented and borrowed distribution channels.
Prepare canary markers and optional protective measures for an authorized handover bundle.
Survey a React codebase and turn prioritized findings into implementation plans without editing application source.
Identify repeated instructions in local coding sessions using a model-free report before deciding whether to create a profile.
Explore startup and builder ideas through structured questions and produce a design document before implementation.
Design a knowledge video around a learning objective, evidence, script and storyboard before production.
Turn a video brief into a Claude Design prompt and composition, guided by an active personal video profile.
Research business context and develop a reviewed marketing plan across acquisition and retention.
Create a person-perspective Skill from supplied documents, chat logs, audio or video; includes preset persona prompts.
Map incoming engineering work to the relevant workflows in Addy's Agent Skills collection.
Keep multi-step work organized with persistent plan, findings, and progress files.
Design agents around capabilities, domain knowledge, context and progressively added complexity.
Interview the user to stress-test a plan or design before implementation.
Find suitable partners and define shared campaign goals, responsibilities and measurement.
Scope a jam entry to its deadline, schedule work, cut features, verify a clean build, and submit on time.
Build a phased implementation plan grounded in discovered documentation, exact APIs, and verification criteria.
Mine a personal working profile from AI coding sessions and use focused workflows for profile setup, repeated instructions and video work.
Pick a planning skill for the first pass, a review-loop skill after implementation, and a launch or roadmap skill when the work spans several milestones.