Agent Building skills

Browse reusable Agent Skills, each with a clear purpose and practical guidance.

skill-construction

Methodology for building a properly structured Claude Code skill (SKILL.md + optional resources + evaluation rubric) from extracted components. Assesses complexity (Level 1 simple - SKILL.md only; Level 2 moderate - SKILL.md plus 1-3 resources; Level 3 complex - SKILL.md plus 4-8 resources), plans the resource grouping, drafts SKILL.md following Anthropic's authoring best practices (concise frontmatter with what + when triggers, body under 500 lines, progressive disclosure to resource files one level deep, workflow checklists), and constructs an evaluation rubric. Use when extracted components and a synthesis verdict are in hand and the next step is to materialize them as a skill. Trigger keywords - construct skill, build SKILL.md, skill construction, skill scaffolding, generate skill files.

133 repo starsObserved in 1 repos
Agent Building
GitHub

team-stack

Analyze a task, propose an agent team composition with roles and responsibilities, and create the team after user confirmation. Use when the user says "team stack", "create a team", "set up agents for this", or describes a complex task that would benefit from multiple agents working together.

133 repo starsObserved in 1 repos
Agent Building
GitHub

wc-population-diversity

Measures and protects diversity in the FIFA World Cup Fantasy evolution engine — the anti-inbreeding / selection-pressure governor from the Evolution document. Computes how collapsed an offspring set is (pairwise squad overlap %, captain overlap, ownership-profile spread, variance-band coverage); if the population has converged toward one template (premature convergence / local optimum), it injects an under-represented genotype's blocks and/or raises the mutation rate and signals a re-run; and it tunes selection pressure (too high collapses the gene pool, too low makes the board noise). Ensures the manager's board always offers a real choice across the variance spectrum. Use after recombination + mutation, before emitting offspring.

133 repo starsObserved in 1 repos
Agent Building
GitHub

wc-signal-emitter

Validates and persists FIFA World Cup Fantasy signal files to signals/YYYY-MM-DD-<type>.md. Checks the required frontmatter (type, round, date, emitted_by, confidence, source_urls), range-checks declared numeric signals, confirms every factual claim carries a source URL or "manager-provided", rejects unknown signal types, and refuses to persist a signal that fails validation (logging the failure instead). Keeps the inter-agent signal layer auditable so downstream agents can trust what they read and never re-derive it. Use whenever an agent or skill writes a signal.

133 repo starsObserved in 1 repos
Agent Building
GitHub

happycapy-skill-creator

Automate HappyCapy skill creation by finding and adapting existing skills from anthropics/skills repository. Handles environment constraints (Python 3.11, Node.js 24, no Docker). Use when user wants to create or adapt skills for specific tasks.

132 repo starsObserved in 3 repos
Agent Building
GitHub

contract-first-agents

Contract-First Map-Reduce coordination protocol for native TeamCreate multi-agent teams. Wraps TeamCreate, Task (teammates), SendMessage with an upfront shared contract phase that eliminates 75% of integration errors. Based on 400+ experiment research proving 52.5% quality improvement over naive coordination.

132 repo starsObserved in 2 repos
Agent Building
GitHub

prompt-optimize

Use when the user has a prompt that feeds a system they can already score, and wants that prompt automatically improved to raise the score against their own evaluation command. Makes one targeted quality edit per iteration — clarity, context, specificity, structure, examples, decomposition, guardrails — re-runs the user's eval to measure the metric, and keeps the edit only if the metric improves, else reverts; loops to a target, plateau, or budget. The metric is whatever the user's eval command prints (task accuracy, an LLM-judge score, a pass rate, a tool-call success rate); the loop is metric-agnostic and never edits the eval. Not for writing a prompt from scratch, not for tuning model weights or hyperparameters, and not for one-off manual prompt edits without a score.

132 repo starsObserved in 2 repos
Agent Building
GitHub

agentic-engineering-workflow

Use when building software with AI agents and you need a serious end-to-end workflow instead of vibe coding. Covers harness choice, context discipline, cleanup, review loops, launch pressure, and security basics.

132 repo starsObserved in 1 repos
Agent Building
GitHub

agentseek-lifecycle

Use when helping with AgentSeek-managed projects or AgentSeek-compatible templates: create projects, diagnose lifecycle issues, run doctor/dev/info/task commands, edit lifecycle specs, or maintain Cookiecutter template inputs. Prefer public AgentSeek CLI and template contracts.

132 repo starsObserved in 1 repos
Agent Building
GitHub

capy-cortex

Autonomous learning system - learns from mistakes, reflects on sessions, and gets smarter over time. The AI brain.

132 repo starsObserved in 1 repos
Agent Building
GitHub