AI & ML

darthlinuxer Bundle

Advanced vulnerability analysis principles. OWASP 2025, Supply Chain Security, attack surface mapping, risk prioritization.

darthlinuxer Skill

Modify editor/IDE user settings in settings.json. Use when the user wants to change editor settings, preferences, configuration, themes, font size, tab size, format on save, auto save, keybindings, or any settings.json values.

darthlinuxer Bundle

Primary methodology for implementing features and bugfixes - enforces test-first approach (RED-GREEN-REFACTOR) using senior-software-developer patterns for code quality. Use for single-task implementations; for multi-step projects, use writing-plans → subagent-driven-development instead.

darthlinuxer Bundle

Provides production-quality patterns, standards, and language-specific best practices for Python, C#, Node.js, and TypeScript. Used as the implementation guideline within test-driven-development workflow, or directly for architecture decisions and complex refactoring. Not invoked directly for new feature implementation - use test-driven-development instead.

peterbamuhigire Skill

Use when selecting or reviewing a software product, service, hybrid, platform, subscription, perpetual, open-source, or transition business model.

darthlinuxer Bundle

Execute implementation plans (created by writing-plans) by dispatching fresh subagents per task with two-stage review (spec compliance, then code quality). Use after writing-plans for complex multi-step projects in current session. Each subagent follows test-driven-development methodology and senior-software-developer patterns.

darthlinuxer Bundle

Use when creating, updating, or reviewing Agile/Scrum artifacts in `senior-agile-pm-budget-analyst/assets/AGILE_DOCS_PT_BR` (Portuguese), ensuring each document follows Scrum best practices with detailed budget analysis, poker planning estimations, Gantt charts, and critical path analysis.

darthlinuxer Skill

Use 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

peterbamuhigire Bundle

Use when designing, implementing, profiling, or reviewing non-player-agent behaviour, navigation, perception, decision systems, crowds, reservations, behaviour trees, state trees, utility logic, encounter AI, or AI validation in a game; load an engine skill for concrete APIs.

elsolal Skill

Revue de code en 3 passes (Correctness, Readability, Performance). Peut tourner en standalone (séquentiel) ou comme agent parallèle depuis /dev.

elsolal Skill

Implémente du code en respectant les conventions du projet. Utilisé comme agent worker depuis /dev ou en standalone.

alexei-led Bundle

Create, split, slim, or rewrite repository skills. Use when adding a new `src/skills/<name>/` skill, editing a skill description, frontmatter, references, overlays, or plugin placement, or tightening routing between neighboring skills. NOT for score-only instruction review; use reviewing-instructions. NOT for broad agent/package config audits; use evolving-config. NOT for ordinary docs; use documenting-code.

alexei-led Bundle

Audit and improve AI coding-agent configuration. Use when reviewing or changing Claude Code, Pi, Codex, skill, agent, hook, MCP, permission, package, or generated-export setup. Default is review-only; fixes require explicit user approval or --fix. NOT for score-only instruction review or prompt lint; use reviewing-instructions. NOT for application config, git hygiene, code bugs, ordinary docs, or generated files without their source.

elsolal Skill

Show recent entries from the LLM Wiki log (wiki/log.md). Uses the standardized

elsolal Skill

Bootstrap a fresh LLM Wiki vault with the three-layer structure, schema files, and starter templates. Usage /wiki-init <path> --topic "<topic>" [--tool all|Codex|codex|cursor|antigravity]

elsolal Skill

Run a health check on the LLM Wiki vault — mechanical checks (orphans, broken links, stale pages, missing frontmatter, log gap, duplicates) plus semantic checks (contradictions, cross-reference gaps, concepts missing their own page). Outputs a markdown report with suggested actions. Usage /wiki-lint [--stale-days N] [--log-gap-days N]

elsolal Skill

Query the LLM Wiki — reads index.md first, drills into 3-10 relevant pages, synthesizes an answer with inline [[wikilink]] citations, and offers to file the answer back as a new comparison or synthesis page. Usage /wiki-query "<question>"

elsolal Skill

Ingest a source file from raw/ into the LLM Wiki — read, discuss, write summary page, update cross-references across 5-15 pages, regenerate index, append to log. Usage /wiki-ingest <path-to-source>

apideck-libraries Bundle

Task playbook for paying a vendor bill via the Apideck MCP server's `apideck-pay-bill` workflow tool. Use when the user asks to settle, pay, or close a known accounts-payable bill in QuickBooks, Xero, NetSuite, or any other connected accounting service. Covers confirmation prompts, partial payments, payment-method capitalization quirks, and the AP-vs-AR routing decision agents routinely get wrong.

alexei-led Bundle

Create or update human-facing docs, agent-facing instructions, architecture docs, API docs, README content, and useful code comments from implementation facts. Use when docs are stale, missing, or must reflect code changes. NOT for code-quality review, prompt scoring, speculative docs, or ADRs unless explicitly requested.

alexei-led Bundle

Diagnose cc-thingz plugin installations with the bundled read-only doctor. Use for missing installed skills or helpers, stale package versions, duplicate packages, or migration from old cc-thingz packages. NOT for broad agent configuration audits or config edits; use evolving-config.

alexei-led Bundle

Use when asked to lint, audit, review, or score AI-facing instruction files such as SKILL.md, AGENT.md, AGENTS.md, CLAUDE.md, platform body.md files, prompt files, rules, policies, and agent-facing references. NOT for plugin manifests, application code review, harness configuration review, ordinary docs, tests, or generated build output.

apideck-libraries Bundle

Task playbook for fetching a month-end financial snapshot via the Apideck MCP server's `apideck-month-end-close-check` workflow tool. Use when the user asks for a P&L, balance sheet, aged creditors, or aged debtors view at a point in time. Read-only, idempotent, returns partial snapshots when some reports aren't supported by the connector.

apideck-libraries Bundle

Task playbook for recording a customer payment against an invoice via the Apideck MCP server's `apideck-receive-customer-payment` workflow tool. Use when the user says a customer paid an invoice and wants the accounting service updated. AR mirror of `apideck-pay-bill` — same shape, opposite ledger side. Different unified endpoint, different counterparty (customer vs supplier), different allocation type.

apideck-libraries Bundle

Task playbook for converting a hired ATS applicant into an HRIS employee via the Apideck MCP server's `apideck-onboard-employee` workflow tool. First cross-unified-API workflow — requires both ATS and HRIS connections active on the consumer. Optionally moves the applicant to a "hired" stage in the ATS to close the loop.

elsolal Bundle

Search local markdown knowledge bases, Obsidian vaults, notes, documentation, and project memory using QMD collections, lexical search, vector search, query expansion, document retrieval, and the QMD MCP server. Use when users ask to search notes, find documents, query a vault, refresh embeddings, inspect QMD status, or look up information in local markdown.

elsolal Bundle

Build, query, lint, and maintain a persistent Obsidian LLM Wiki where agents ingest durable sources, update entity/concept/source/synthesis pages, maintain wikilinks, capture useful sessions, and refresh local retrieval. Use for second brain, Obsidian wiki, personal knowledge management, project memory, wiki-ingest, wiki-query, wiki-lint, wiki-capture-session, compound knowledge, Memex, or any request where knowledge should accumulate across sessions instead of being re-derived by RAG.

kanevry Skill

Use when creating a new MCP (Model Context Protocol) server, extending an existing one, or debugging tool discoverability/performance. Guides through research → implementation → test → eval phases with TypeScript-first guidance matching our stack. Trigger on phrases like "build an MCP server", "expose X as an MCP tool", "write MCP tools for Y", "integrate Z via MCP".

kanevry Bundle

Use this skill when orchestrating agentic end-to-end tests. Resolves target + profile, dispatches the right driver(s) (playwright for web today, peekaboo for macOS (issue #381)), invokes the ux-evaluator agent (opus, read-only) against driver artifacts, reconciles findings with the open issue tracker via scripts/lib/test-runner/issue-reconcile.mjs, and writes report.md + JSONL roll-up. Wraps upstream tools (no forks). Hard-gates Playwright MCP for browser drive (4× token cost vs CLI per Microsoft's own benchmark).

kanevry Bundle

Creates a structured wave execution plan with role-based assignment after user alignment. Decomposes agreed tasks into waves resolved from the session mode by `scripts/session-shape.mjs`, with optimal agent assignment, dependency ordering, and inter-wave checkpoints. Activated by session-start after Q&A phase completes.

kanevry Skill

Use when local resource pressure would shrink or coordinator-direct a wave, a wave plan carries heavy build/test/audit roles (test, ui, perf), or the operator says offload, remote host, or auslagern — reference for routing that wave role to a declared SSH-reachable host instead of reducing agent count

kanevry Skill

Injects the canonical vault frontmatter schema snippet into agent prompts before any vault-write task, preventing malformed YAML frontmatter in Obsidian notes. <example>Context: wave-executor is about to dispatch a vault-mirror agent that writes learning notes under ~/Projects/vault/40-learnings/. user: "dispatch vault-write agent" assistant: "Injecting frontmatter-guard snippet into agent prompt (vault scope detected). Required fields: id, type, created, updated. Enum type: note|daily|project|person|reference|idea|learning|session." <commentary>The wave-executor pre-dispatch hook calls detectVaultTaskScope() — the fileScope contains /Projects/vault/40-learnings/ so the guard triggers and the snippet is prepended to the agent system prompt.</commentary></example>

elsolal Skill

Decompose un objectif haut-niveau en taches independantes et les execute en agents paralleles. Utiliser quand l'utilisateur dit "orchestrer", "fais tout ca en parallele", "multi-agent", "lance plusieurs agents", "decompose et execute", ou donne un objectif complexe avec 3+ sous-taches independantes.

megastep Bundle

Use when deploying ANY machine learning model on-device, converting models to CoreML, compressing models, or implementing speech-to-text. Covers CoreML conversion, MLTensor, model compression (quantization/palettization/pruning), stateful models, KV-cache, multi-function models, async prediction, SpeechAnalyzer, SpeechTranscriber.

megastep Bundle

Use when automating App Store Connect via MCP — submit builds, manage TestFlight, respond to reviews, triage feedback programmatically

infrasity-labs Skill

Optimize existing blog posts and web content for GEO (Generative Engine Optimization) — AI search visibility on ChatGPT, Perplexity, Claude, and Google AI Overviews. Use whenever a user provides a blog URL or pastes existing content and asks to optimize it for AI search, rewrite for LLM visibility, improve GEO score, make content answer-first, add FAQ sections, restructure headings for AI retrieval, improve citation potential, or audit content for AI readiness. Also triggers on "GEO optimize this", "make this AI-search ready", "rewrite for Perplexity", "optimize for ChatGPT", "optimize for Google AI Overviews", "improve AI visibility", "reformat for AI search", "make this content citation-worthy", "content isn't showing up in AI search", "why isn't my blog cited by AI", "GEO audit", "answer-first rewrite", "restructure for AI", "make my blog AI-friendly", "improve LLM citability". Do NOT trigger for writing new content from scratch — use geo-content for that.