AI & ML

enuno Skill

LangGraph Functional API (Python) — build stateful agent workflows with @entrypoint and @task decorators. Imperative Python style with LangGraph persistence, streaming, HITL, and durable execution. Ideal for wrapping existing agents (CrewAI, AutoGen, Strands) or complex parallel task logic.

enuno Bundle

Database operations for Supabase: query/write/migration/logs/type generation. Triggers: query/statistics/export/insert/update/delete/fix/backfill/migrate/logs/alerts/type generation. Does not trigger for: pure architecture discussion or code planning. Write operations require confirmation; UPDATE/DELETE without WHERE is refused. MCP is optional — works with CLI/Console too.

enuno Bundle

Execute database operations via Supabase MCP (query/write/migration/logs/type generation). Triggers: query/statistics/export/insert/update/delete/fix/backfill/migrate/logs/alerts/type generation. Does not trigger for: pure architecture discussion or code planning. Write operations require confirmation; UPDATE/DELETE without WHERE is refused.

harshahosur81 Skill

Create detailed 3-5 year financial model with revenue, costs, cash flow, and scenarios

delorenj Bundle

Agno AI agent framework. Use for building multi-agent systems, AgentOS runtime, MCP server integration, and agentic AI development.

jamie-bitflight Skill

Research community usage patterns, real-world gotchas, and client compatibility for a specific known library, tool, or protocol feature. Use when a technical-researcher orchestrator needs community-sourced evidence about a named library or feature — bug reports, workarounds, compatibility gaps, and patterns from issue trackers and discussions. Distinct from the broad ecosystem-researcher agent — this skill targets a KNOWN entity and mines what real users have actually experienced, not what exists in a domain.

jamie-bitflight Skill

Use when the PLAN artifact from SAM Stage 2 needs contextualization against actual codebase state — grounds the design plan in reality by performing scope analysis (NEW/MODIFY/COMPLETE classification), conflict detection between plan assumptions and codebase patterns, and resource mapping to concrete file paths and integration points. Produces an updated ARTIFACT:PLAN registered via MCP with a Contextualization section appended.

harshahosur81 Skill

Expert in vector databases, embedding strategies, and semantic search implementation. Masters Pinecone, Weaviate, Qdrant, Milvus, and pgvector for RAG applications, recommendation systems, and similar

delorenj Bundle

Generate speech using the self-hosted voxxy (vox) TTS service at https://vox.delo.sh. Use when the user asks to speak, say, narrate, synthesize speech, clone a voice, create a voice, add or register a voice, pipe TTS, or control voice qualities by description (e.g. "a young woman with a cheerful voice"). Handles HTTP API usage, voice profile management, description-based voice design, cloning, MCP registration, and integration patterns for new platforms.

delorenj Bundle

Create, wire, and maintain 33god/DeLoNET projects. Covers PJangler/CommonProject bootstrap, repo-local `.project.json`, Hermes PM provisioning requests (sentinel duties fold into the PM heartbeat), mise/.env.op, BMAD, Hindsight/Bloodbank hook wiring, and project-scoped hook + skill fan-out adoption. Use when running `pj init`, `pj hermes-agent --yes`, or `mise run init-project`; adding a PM; wiring mise/op inject; installing BMAD; configuring hooks; or adopting `.agents/local.json`, `defer_to_global`, and `hooks.master.json`. Do NOT use for developing pjangler (project-jangler), generic fan-out mechanics (agent-config-fanout), fleet updates/backfills (agent-fleet-operations), live Plane issues, Bloodbank schemas, or host conventions.

delorenj Bundle

Persistent agent memory via self-hosted Hindsight. Retain knowledge, recall context, reflect on patterns. Includes multi-bank routing architecture for agent orgs.

delorenj Skill

How to use worktrunk (`wt`), the installed CLI for git worktree management built for parallel AI agents. Use when creating, switching, listing, rebasing, merging, or removing git worktrees; when running parallel agents that must not share a working directory; when a task needs isolation from a dirty or shared checkout; or when `wt` commands, hooks, or config need debugging. Covers the command surface, agent-specific invocation patterns, and the fleet-standard config. Policy (WHEN/WHERE/MAINTAIN) lives in the 33GOD `worktrees` skill — this skill is the HOW.

jamie-bitflight Bundle

Runs the description-drift experiment — spawns all Claude Code agents simultaneously to collect self-reported capabilities, then compares them against static frontmatter descriptions to reveal how reliable orchestrator routing based on descriptions actually is. Use when measuring description drift across the agent fleet, re-running the capability collection experiment, analyzing a specific agent's self-reported capabilities, or auditing whether frontmatter descriptions accurately reflect agent behavior.

jamie-bitflight Bundle

Reference spec and schema for Claude Code subagents — covers built-in agents (Explore, Plan, general-purpose), all frontmatter fields (name, description, tools, disallowedTools, model, permissionMode, maxTurns, skills, mcpServers, hooks, memory, background, effort, isolation, color, initialPrompt), scope and file locations, invocation patterns (@-mention, --agent, --agents CLI), tool restrictions, and example subagent definitions. Use when creating, configuring, or debugging a subagent definition file, looking up a frontmatter field, choosing between subagents and agent teams, or understanding what loads at subagent startup.

jamie-bitflight Bundle

Store instructional prose once and reference it from multiple skills or agents instead of duplicating it. Use when the same steps, rules, or reference material appear in two or more SKILL.md or agent files in one plugin, when deciding whether a shared doc belongs in the plugin-root docs directory or a single skill's references directory, or when tempted to use a symlink or a ../ path to share a file between components.

jamie-bitflight Skill

Use when searching a codebase by behavior, intent, or natural language description rather than exact identifiers. Activates the CocoIndex Code MCP server for semantic code search — finding implementations without knowing exact names, exploring unfamiliar codebases, or locating code by concept.

harshahosur81 Skill

Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production. Use when optimizing prompts, improving LLM outputs, or designing production prompt templates.

harshahosur81 Skill

Use when working with performance testing review multi agent review

jamie-bitflight Skill

Use when orchestration or planning agents are producing task plans, task prompts, or TASK.md instructions that must be unambiguous, verifiable, and resistant to hallucination. Applies CLEAR (Concise, Logical, Explicit, Adaptive, Reflective) to structure and write agent task prompts, then adds CoVe (Chain of Verification) checks where accuracy risk is meaningful. Activates on draft task prompts, swarm plans, migration tasks, and multi-step plans requiring independently executable steps.

jamie-bitflight Bundle

Manages feature implementation task state via SAM MCP tools. Use when querying task status, listing ready tasks, claiming tasks for execution, updating task timestamps, or coordinating multi-task feature rollout. Activated by the /dh:execution orchestrator to track progress — also activates directly when managing tasks or configuring hook profiles.

jamie-bitflight Skill

Linter-specific resolution workflows for ruff, mypy, pyright, and basedpyright. Provides systematic root-cause analysis procedures, suppression gates, and verification steps. Use when resolving linting errors as a sub-agent, implementing fixes systematically, or conducting type flow analysis.

jamie-bitflight Bundle

Use when debugging software, investigating incidents, diagnosing flaky tests, or analyzing performance regressions — enforces structured observation recording with evidence IDs, causality validation, and verification gates to prevent correlation-causation pollution. Use when an agent might otherwise summarize or speculate instead of reporting observed evidence.

jamie-bitflight Skill

Routes Python engineering tasks to specialist skills by matching trigger patterns before any architecture, plan, or code is written. Use when working with Typer CLI frameworks, Rich or Textual terminal UIs, CLI UI/UX design, questionary prompts, FastMCP/MCP servers, ty type checker, uv package manager, Hatchling build backend, TOML editing, pre-commit/prek hooks, async Python, PyPI packaging, complex linting, technical debt modernization, testing workflows, feature development, or stdlib-only scripting.

jamie-bitflight Skill

Use when a task asks for architecture review, dependency graph visualization, module coupling analysis, or circular dependency detection. Auto-detects scope (git diff → PR diff → full project). Reads project config (pyproject.toml, tsconfig.json, go.mod, Cargo.toml) to establish the intra-project module namespace before parsing imports. Builds a module-dependency graph across Python, TypeScript, JavaScript, Go, Rust, and Java. Detects cycles via graphify output or an executable Python script. Checks Conway's Law alignment against CODEOWNERS and directory structure. For Claude plugin repos, also traces cross-language chains: hook configs → hook scripts, SKILL.md/agent docs → node/uv-run scripts, PEP 723 inline deps, and MCP tool calls. Emits Mermaid flowcharts with severity color-coding (red = circular dep, yellow = high-coupling, green = clean, blue = Conway violation). Applies recursive semantic partitioning for graphs > 40 nodes. Registers each diagram as a codebase-analysis artifact.

jamie-bitflight Bundle

Complete reference for Claude Code plugins system (April 2026). Use when creating plugins, understanding plugin.json schema, marketplace configuration, bundling skills/commands/agents/hooks/MCP/LSP/monitor servers, plugin caching, validation, or distribution. Covers plugin components, directory structure, installation scopes, environment variables, CLI commands, debugging, and enterprise features.

jamie-bitflight Skill

Loaded automatically when reviewing Claude skills or agent definitions — covers SKILL.md structure, frontmatter validity, token budget, description quality, and agent contract compliance.

harshahosur81 Skill

Master C#/.NET backend development patterns for building robust APIs, MCP servers, and enterprise applications. Covers async/await, dependency injection, Entity Framework Core, Dapper, configuration, caching, and testing with xUnit. Use when developing .NET backends, reviewing C# code, or designing API architectures.

harshahosur81 Skill

Combine vector and keyword search for improved retrieval. Use when implementing RAG systems, building search engines, or when neither approach alone provides sufficient recall.

harshahosur81 Skill

This skill should be used when the user asks to "create financial projections", "build a financial model", "forecast revenue", "calculate burn rate", "estimate runway", "model cash flow", or requests 3-5 year financial planning for a startup.

jamie-bitflight Bundle

Orchestrator context window discipline enforcement. Prevents the orchestrator from reading source files it will not edit, running diagnostic commands that waste context, and rationalizing delegation bypasses. Use when setting up orchestrator guardrails, reviewing delegation discipline, or diagnosing context window waste in multi-agent workflows. Activates PreToolUse hooks that surface decision points before source file reads and diagnostic command execution.

jamie-bitflight Skill

Analysis criteria, transformation patterns, output format, and validation checklist for refactoring Claude Code agent prompt files. Load this skill when preparing to run the subagent-refactorer agent or when reviewing agent prompt files for structural, model optimization, or instruction quality improvements.

jamie-bitflight Bundle

Claude Code session log schema — JSONL record types, message structure, tool call/result pairing, subagent file locations, team session layout, task/plan/team configuration paths. Use when parsing ~/.claude/projects/**/*.jsonl files, writing PostToolUse hooks that measure response sizes, building session analyzers, or any agent that reads or queries Claude session transcripts.

jamie-bitflight Skill

Provides agent selection criteria, workflow patterns (TDD, feature addition, code review, refactoring, debugging), quality gates, and python-cli-architect vs stdlib-scripting routing for Python engineering tasks. Activated by python-engineering:orchestrate at Step 1 before any task is routed. Also activates when an orchestrator needs to select the correct Python specialist agent or chain agents across a multi-step Python workflow.

jamie-bitflight Skill

Shared Python 3.11+ development standards covering type safety (ty, native generics, Protocol, TypeIs), layered architecture, error handling, performance, identifier naming, UI/CLI patterns (Rich/Typer), testing requirements (pytest, 80% coverage, TDD), and quality gates. Activates when any Python skill or agent needs to apply shared standards for implementation, code review, refactoring, or test authoring.

jamie-bitflight Skill

Single-pass SOLID review — dispatches one reviewer over the complete ruleset, emitting the fixed candidate schema.

stevenke1981 Skill

當使用者需要「AI 中世紀視覺提示專家」處理AI 生成相關任務時啟動。本 Agent 會先確認目標、資料來源、限制與驗收標準，再把目標、受眾與風格限制轉成可直接使用的創作交付物，並輸出證據、風險、下一步與需要人工覆核的事項。