Directorio de skills
Cada recomendación conserva un vínculo claro con su repositorio, auditoría y ruta de instalación.
Codex Autoresearch Skill — A self-directed iterative system for Codex that continuously cycles through: modify, verify, retain or discard, and repeat indefinitely. Inspired by Karpathy’s autoresearch concept.
Home Assistant integration for smart-plug appliance monitoring: detects cycles, matches programs, estimates time remaining. Supports washing machines, dryers, dishwashers and more.
Autonomously improve a real artifact (code, training recipe, agent harness, data pipeline, prompt) against an objective and an evaluator, using Hypothesis Tree Refinement (HTR) from the Arbor paper. Use this whenever someone wants to iteratively optimize something over many experiments without overfitting — e.g. "get my model's eval score up", "improve this agent/harness", "tune this pipeline", "beat the baseline on this benchmark", "run a search over approaches and keep the best", "do an MLE-bench / Kaggle-style optimization", or any long-horizon "make this artifact better and don't just memorize the dev set" task. Trigger it even when the user doesn't say "Arbor" or "hypothesis tree" but describes repeated experiment-and-evaluate loops, branching exploration of competing ideas, or worries about a dev/test gap. Runs Claude itself as the coordinator with subagent executors in isolated git worktrees; for the standalone `arbor` CLI tool see references/arbor-upstream.md.
Create branded architecture, IT current-state, flowchart, sequence, state machine, ER/data model, timeline, swimlane, quadrant, radar/spider, polar chart (polar/radial lollipop), loop/flywheel, nested, tree, org chart, layer stack, Venn, pyramid/funnel, treemap, bar, line, Gantt and scatter charts, high-level, process, medallion, data flow, DP integration, DP security matrix, Sankey, fishbone, Wardley map, kanban, user journey, deployment, dependency graph, UML class, story map, or database schema diagrams as standalone HTML/SVG/PNG. Redraw .drawio/.drawio.png/.drawio.svg or Mermaid .mmd sources at a chosen size/detail; onboard brand tokens from a website; add semantic patterns, callouts, accessible motion, or sketchy/hand-drawn styling.
Answer Engine Optimization (AEO) skill — optimize content to be cited by AI language models (ChatGPT, Perplexity, Claude, Gemini, Mistral) as authoritative sources. Distinct from SEO — AEO optimizes for citation in LLM-generated responses, not search rankings. Use when planning content for AI-first search audiences, auditing existing content for E-E-A-T signals, tracking which pages get cited by which LLMs, or building a citation-friendly content strategy. Triggers — 'AEO audit', 'optimize for ChatGPT', 'get cited by Perplexity', 'LLM citation strategy', 'answer engine optimization', 'content for AI search', 'E-E-A-T audit'. Output is a markdown audit report (default) or JSON for pipeline integration. Stdlib-only Python tools.
Identifies and prioritizes God Classes Highly Coupled classes, and Class Cycles in Java codebases you should refactor first.
89 skills and 38 specialized agents that enforce proven engineering practices for AI-assisted development. TDD, systematic debugging, parallel code review, and 10-gate development cycles — as a Claude Code plugin marketplace.
A collection of open-source agent skills for Claude Code, Codex, and Antigravity to audit, re-engineer, and bootstrap projects with AI-first design principles.
Claude Code skills: codex-sprint, review-loop (iterative simplify-review-fix), rust-dev (FAIL FAST standards)
Prepare a winning hackathon submission. Use when the user says "hackathon submission", "submit to hackathon", "demo script", "demo video", "which track should I enter", "Colosseum", "help me win the hackathon", or asks about hackathon grants and Superteam Earn.
Generates, optimizes, and validates Cypher 25 queries for Neo4j 2025.x and 2026.x.
Steward the vanillagreencom/kendex issue queue (Linear team KEN is the poll surface; GitHub stays the PR/code surface) on a self-paced loop: watch open PRs, poll, triage (dedupe; close non-kendex issues and repost project-local ones to their owning repo; fix genuine defects in kendex's skills/agents/hooks/pi-extensions or the Rust CLI), run each fix through the orch skill, merge, propagate via kendex refresh, then reschedule. A thin wrapper: fix cycles belong to orch, PR mechanics to the github skill, PR monitoring to review-gate's pr-watch, Linear ops to the linear skill — this skill carries only the kendex-specific stewardship knowledge. Use when asked to monitor kendex's issues continuously or to run one fix-and-propagate cycle.
Directorio de skills
Cada recomendación conserva un vínculo claro con su repositorio, auditoría y ruta de instalación.
Codex Autoresearch Skill — A self-directed iterative system for Codex that continuously cycles through: modify, verify, retain or discard, and repeat indefinitely. Inspired by Karpathy’s autoresearch concept.
Home Assistant integration for smart-plug appliance monitoring: detects cycles, matches programs, estimates time remaining. Supports washing machines, dryers, dishwashers and more.
Autonomously improve a real artifact (code, training recipe, agent harness, data pipeline, prompt) against an objective and an evaluator, using Hypothesis Tree Refinement (HTR) from the Arbor paper. Use this whenever someone wants to iteratively optimize something over many experiments without overfitting — e.g. "get my model's eval score up", "improve this agent/harness", "tune this pipeline", "beat the baseline on this benchmark", "run a search over approaches and keep the best", "do an MLE-bench / Kaggle-style optimization", or any long-horizon "make this artifact better and don't just memorize the dev set" task. Trigger it even when the user doesn't say "Arbor" or "hypothesis tree" but describes repeated experiment-and-evaluate loops, branching exploration of competing ideas, or worries about a dev/test gap. Runs Claude itself as the coordinator with subagent executors in isolated git worktrees; for the standalone `arbor` CLI tool see references/arbor-upstream.md.
Create branded architecture, IT current-state, flowchart, sequence, state machine, ER/data model, timeline, swimlane, quadrant, radar/spider, polar chart (polar/radial lollipop), loop/flywheel, nested, tree, org chart, layer stack, Venn, pyramid/funnel, treemap, bar, line, Gantt and scatter charts, high-level, process, medallion, data flow, DP integration, DP security matrix, Sankey, fishbone, Wardley map, kanban, user journey, deployment, dependency graph, UML class, story map, or database schema diagrams as standalone HTML/SVG/PNG. Redraw .drawio/.drawio.png/.drawio.svg or Mermaid .mmd sources at a chosen size/detail; onboard brand tokens from a website; add semantic patterns, callouts, accessible motion, or sketchy/hand-drawn styling.
Answer Engine Optimization (AEO) skill — optimize content to be cited by AI language models (ChatGPT, Perplexity, Claude, Gemini, Mistral) as authoritative sources. Distinct from SEO — AEO optimizes for citation in LLM-generated responses, not search rankings. Use when planning content for AI-first search audiences, auditing existing content for E-E-A-T signals, tracking which pages get cited by which LLMs, or building a citation-friendly content strategy. Triggers — 'AEO audit', 'optimize for ChatGPT', 'get cited by Perplexity', 'LLM citation strategy', 'answer engine optimization', 'content for AI search', 'E-E-A-T audit'. Output is a markdown audit report (default) or JSON for pipeline integration. Stdlib-only Python tools.
Identifies and prioritizes God Classes Highly Coupled classes, and Class Cycles in Java codebases you should refactor first.
89 skills and 38 specialized agents that enforce proven engineering practices for AI-assisted development. TDD, systematic debugging, parallel code review, and 10-gate development cycles — as a Claude Code plugin marketplace.
A collection of open-source agent skills for Claude Code, Codex, and Antigravity to audit, re-engineer, and bootstrap projects with AI-first design principles.
Claude Code skills: codex-sprint, review-loop (iterative simplify-review-fix), rust-dev (FAIL FAST standards)
Prepare a winning hackathon submission. Use when the user says "hackathon submission", "submit to hackathon", "demo script", "demo video", "which track should I enter", "Colosseum", "help me win the hackathon", or asks about hackathon grants and Superteam Earn.
Generates, optimizes, and validates Cypher 25 queries for Neo4j 2025.x and 2026.x.
Steward the vanillagreencom/kendex issue queue (Linear team KEN is the poll surface; GitHub stays the PR/code surface) on a self-paced loop: watch open PRs, poll, triage (dedupe; close non-kendex issues and repost project-local ones to their owning repo; fix genuine defects in kendex's skills/agents/hooks/pi-extensions or the Rust CLI), run each fix through the orch skill, merge, propagate via kendex refresh, then reschedule. A thin wrapper: fix cycles belong to orch, PR mechanics to the github skill, PR monitoring to review-gate's pr-watch, Linear ops to the linear skill — this skill carries only the kendex-specific stewardship knowledge. Use when asked to monitor kendex's issues continuously or to run one fix-and-propagate cycle.
Directorio de skills
Cada recomendación conserva un vínculo claro con su repositorio, auditoría y ruta de instalación.
Codex Autoresearch Skill — A self-directed iterative system for Codex that continuously cycles through: modify, verify, retain or discard, and repeat indefinitely. Inspired by Karpathy’s autoresearch concept.
Home Assistant integration for smart-plug appliance monitoring: detects cycles, matches programs, estimates time remaining. Supports washing machines, dryers, dishwashers and more.
Autonomously improve a real artifact (code, training recipe, agent harness, data pipeline, prompt) against an objective and an evaluator, using Hypothesis Tree Refinement (HTR) from the Arbor paper. Use this whenever someone wants to iteratively optimize something over many experiments without overfitting — e.g. "get my model's eval score up", "improve this agent/harness", "tune this pipeline", "beat the baseline on this benchmark", "run a search over approaches and keep the best", "do an MLE-bench / Kaggle-style optimization", or any long-horizon "make this artifact better and don't just memorize the dev set" task. Trigger it even when the user doesn't say "Arbor" or "hypothesis tree" but describes repeated experiment-and-evaluate loops, branching exploration of competing ideas, or worries about a dev/test gap. Runs Claude itself as the coordinator with subagent executors in isolated git worktrees; for the standalone `arbor` CLI tool see references/arbor-upstream.md.
Create branded architecture, IT current-state, flowchart, sequence, state machine, ER/data model, timeline, swimlane, quadrant, radar/spider, polar chart (polar/radial lollipop), loop/flywheel, nested, tree, org chart, layer stack, Venn, pyramid/funnel, treemap, bar, line, Gantt and scatter charts, high-level, process, medallion, data flow, DP integration, DP security matrix, Sankey, fishbone, Wardley map, kanban, user journey, deployment, dependency graph, UML class, story map, or database schema diagrams as standalone HTML/SVG/PNG. Redraw .drawio/.drawio.png/.drawio.svg or Mermaid .mmd sources at a chosen size/detail; onboard brand tokens from a website; add semantic patterns, callouts, accessible motion, or sketchy/hand-drawn styling.
Answer Engine Optimization (AEO) skill — optimize content to be cited by AI language models (ChatGPT, Perplexity, Claude, Gemini, Mistral) as authoritative sources. Distinct from SEO — AEO optimizes for citation in LLM-generated responses, not search rankings. Use when planning content for AI-first search audiences, auditing existing content for E-E-A-T signals, tracking which pages get cited by which LLMs, or building a citation-friendly content strategy. Triggers — 'AEO audit', 'optimize for ChatGPT', 'get cited by Perplexity', 'LLM citation strategy', 'answer engine optimization', 'content for AI search', 'E-E-A-T audit'. Output is a markdown audit report (default) or JSON for pipeline integration. Stdlib-only Python tools.
Identifies and prioritizes God Classes Highly Coupled classes, and Class Cycles in Java codebases you should refactor first.
89 skills and 38 specialized agents that enforce proven engineering practices for AI-assisted development. TDD, systematic debugging, parallel code review, and 10-gate development cycles — as a Claude Code plugin marketplace.
A collection of open-source agent skills for Claude Code, Codex, and Antigravity to audit, re-engineer, and bootstrap projects with AI-first design principles.
Claude Code skills: codex-sprint, review-loop (iterative simplify-review-fix), rust-dev (FAIL FAST standards)
Prepare a winning hackathon submission. Use when the user says "hackathon submission", "submit to hackathon", "demo script", "demo video", "which track should I enter", "Colosseum", "help me win the hackathon", or asks about hackathon grants and Superteam Earn.
Generates, optimizes, and validates Cypher 25 queries for Neo4j 2025.x and 2026.x.
Steward the vanillagreencom/kendex issue queue (Linear team KEN is the poll surface; GitHub stays the PR/code surface) on a self-paced loop: watch open PRs, poll, triage (dedupe; close non-kendex issues and repost project-local ones to their owning repo; fix genuine defects in kendex's skills/agents/hooks/pi-extensions or the Rust CLI), run each fix through the orch skill, merge, propagate via kendex refresh, then reschedule. A thin wrapper: fix cycles belong to orch, PR mechanics to the github skill, PR monitoring to review-gate's pr-watch, Linear ops to the linear skill — this skill carries only the kendex-specific stewardship knowledge. Use when asked to monitor kendex's issues continuously or to run one fix-and-propagate cycle.
Directorio de skills
Cada recomendación conserva un vínculo claro con su repositorio, auditoría y ruta de instalación.
Codex Autoresearch Skill — A self-directed iterative system for Codex that continuously cycles through: modify, verify, retain or discard, and repeat indefinitely. Inspired by Karpathy’s autoresearch concept.
Home Assistant integration for smart-plug appliance monitoring: detects cycles, matches programs, estimates time remaining. Supports washing machines, dryers, dishwashers and more.
Autonomously improve a real artifact (code, training recipe, agent harness, data pipeline, prompt) against an objective and an evaluator, using Hypothesis Tree Refinement (HTR) from the Arbor paper. Use this whenever someone wants to iteratively optimize something over many experiments without overfitting — e.g. "get my model's eval score up", "improve this agent/harness", "tune this pipeline", "beat the baseline on this benchmark", "run a search over approaches and keep the best", "do an MLE-bench / Kaggle-style optimization", or any long-horizon "make this artifact better and don't just memorize the dev set" task. Trigger it even when the user doesn't say "Arbor" or "hypothesis tree" but describes repeated experiment-and-evaluate loops, branching exploration of competing ideas, or worries about a dev/test gap. Runs Claude itself as the coordinator with subagent executors in isolated git worktrees; for the standalone `arbor` CLI tool see references/arbor-upstream.md.
Create branded architecture, IT current-state, flowchart, sequence, state machine, ER/data model, timeline, swimlane, quadrant, radar/spider, polar chart (polar/radial lollipop), loop/flywheel, nested, tree, org chart, layer stack, Venn, pyramid/funnel, treemap, bar, line, Gantt and scatter charts, high-level, process, medallion, data flow, DP integration, DP security matrix, Sankey, fishbone, Wardley map, kanban, user journey, deployment, dependency graph, UML class, story map, or database schema diagrams as standalone HTML/SVG/PNG. Redraw .drawio/.drawio.png/.drawio.svg or Mermaid .mmd sources at a chosen size/detail; onboard brand tokens from a website; add semantic patterns, callouts, accessible motion, or sketchy/hand-drawn styling.
Answer Engine Optimization (AEO) skill — optimize content to be cited by AI language models (ChatGPT, Perplexity, Claude, Gemini, Mistral) as authoritative sources. Distinct from SEO — AEO optimizes for citation in LLM-generated responses, not search rankings. Use when planning content for AI-first search audiences, auditing existing content for E-E-A-T signals, tracking which pages get cited by which LLMs, or building a citation-friendly content strategy. Triggers — 'AEO audit', 'optimize for ChatGPT', 'get cited by Perplexity', 'LLM citation strategy', 'answer engine optimization', 'content for AI search', 'E-E-A-T audit'. Output is a markdown audit report (default) or JSON for pipeline integration. Stdlib-only Python tools.
Identifies and prioritizes God Classes Highly Coupled classes, and Class Cycles in Java codebases you should refactor first.
89 skills and 38 specialized agents that enforce proven engineering practices for AI-assisted development. TDD, systematic debugging, parallel code review, and 10-gate development cycles — as a Claude Code plugin marketplace.
A collection of open-source agent skills for Claude Code, Codex, and Antigravity to audit, re-engineer, and bootstrap projects with AI-first design principles.
Claude Code skills: codex-sprint, review-loop (iterative simplify-review-fix), rust-dev (FAIL FAST standards)
Prepare a winning hackathon submission. Use when the user says "hackathon submission", "submit to hackathon", "demo script", "demo video", "which track should I enter", "Colosseum", "help me win the hackathon", or asks about hackathon grants and Superteam Earn.
Generates, optimizes, and validates Cypher 25 queries for Neo4j 2025.x and 2026.x.
Steward the vanillagreencom/kendex issue queue (Linear team KEN is the poll surface; GitHub stays the PR/code surface) on a self-paced loop: watch open PRs, poll, triage (dedupe; close non-kendex issues and repost project-local ones to their owning repo; fix genuine defects in kendex's skills/agents/hooks/pi-extensions or the Rust CLI), run each fix through the orch skill, merge, propagate via kendex refresh, then reschedule. A thin wrapper: fix cycles belong to orch, PR mechanics to the github skill, PR monitoring to review-gate's pr-watch, Linear ops to the linear skill — this skill carries only the kendex-specific stewardship knowledge. Use when asked to monitor kendex's issues continuously or to run one fix-and-propagate cycle.