Results for “ma”

Orchestrates multi-agent project builds with persistent state, parallel execution, and atomic git commits.

Persistent memory CLI for LLM agents. Store facts, recall past knowledge, link related memories, manage lifecycle.

How you ask the model matters more than which model you ask. Two disciplines stop most AI coding failures before they start.

Debug LangChain and LangGraph agents by fetching execution traces from LangSmith. Analyze agent behavior, investigate errors, and review tool calls and performance metrics.

Interact with Paddock — AI agent orchestration dashboard. Use when registering agents, managing tasks, syncing skills, or querying agent/task status via Paddock APIs.

`task-agent`/`review-agent`: use when CPU, memory, I/O, database, network, rendering, or cost needs measured bottleneck evidence; skip without a profiling need.

`analysis-agent`/`task-agent`/`review-agent`: use for provider-consumer compatibility of APIs, events, schemas, or behavior; skip without independent consumer/version risk.

`task-agent`: use when DTO fields, validation, nullability, defaults, serialization, or compatibility change; skip persistence/domain-only work without an external schema.

`analysis-agent`/`task-agent`/`review-agent`: use when symptoms, logs, metrics, regressions, or incidents need cause analysis; skip when no diagnosis decision exists.

`analysis-agent`/`task-agent`: use when actor journeys change entries, branches, interruption, recovery, authority, or side effects; skip route/state-only work.

`analysis-agent`/`review-agent`: use when proven variation needs extension points, plugins, policy hooks, compatibility, or deprecation; skip when no extension decision exists.

`analysis-agent`/`task-agent`/`review-agent`: use for structure, workspace or package bootstrap, config, scripts, or quality gates; skip without an initialization decision.

`analysis-agent`/`task-agent`/`review-agent`: use when retryable, terminal, timeout, partial-failure, or fallback semantics change across boundaries; skip unchanged failures.

`analysis-agent`: use when raw requests need behavior, actors, scope, non-goals, constraints, deliverables, acceptance, or test traceability; skip when structure already exists.

Use this agent when a major project step has been completed and needs to be reviewed against the original plan and coding standards.

GAN-inspired Generator-Evaluator agent harness for building high-quality applications autonomously. Based on Anthropic's March 2026 harness design paper.

Patterns for integrating OpenAI-compatible LLM chat into Shiny apps. Covers UF Navigator, reasoning models, streaming, fallback logic, and credential management.

Build and maintain a persistent markdown wiki that an LLM updates on the user's behalf, usually inside an Obsidian vault or git-tracked notes repo. Use when raw sources such as web articles, papers, meeting notes, transcripts, screenshots, or past analyses need to be turned into an interlinked knowledge base with immutable source files, LLM-written wiki pages, `index.md`, `log.md`, schema rules in `AGENTS.md` or `CLAUDE.md`, source summaries, query notes, and recurring lint passes. Triggers on: llm-wiki, personal wiki, obsidian wiki, research vault, knowledge base, source ingest, persistent notes, wiki maintenance, source summaries, query filing.

Do NOT invoke this skill as a routine first step. Do NOT invoke when any installed skill (see the available skills list) can handle the task, or when general capabilities (writing, coding, analysis, translation, web search) suffice. Invoke ONLY in two cases: (1) the user explicitly asks to find, install, or browse skills / the skill marketplace; (2) no installed skill fits AND the task very likely needs a dedicated skill to be done well (e.g. a specialized file format, a vertical platform workflow). Searches the official QwenWork marketplace, the skills.sh community library, and enterprise skill markets (if available via MCP).

Use when a human or agent needs local Bot/MetaBot identity create/list/assign/who workflows, persona setup or updates, including first-time bootstrap creation plus doctor verification. Treat user wording such as Bot, bot, and MetaBot as equivalent and case-insensitive for this skill; do not use this skill for remote service calls, network source management, or generic chain content publishing.

Makes completion state obvious at the end of every response using a red/yellow/green status block.

Create, manipulate, and analyze complex networks and graphs using the NetworkX Python package.

Refines task prompts through iterative questioning about scope, deliverables, and constraints, then copies the final markdown to the clipboard.

Configure and manage GitHub secret scanning, push protection, custom patterns, and alert remediation.

Automate Ngrok operations through Composio's Ngrok toolkit via Rube MCP, including tool discovery, connection management, and execution.

Automate Plain operations through Composio's Plain toolkit via Rube MCP, with tool discovery and connection management.

Automate Beamer operations through Composio's Beamer toolkit via Rube MCP, with tool discovery and connection management.

Automate Borneo operations through Composio's Borneo toolkit via Rube MCP, with dynamic tool discovery and connection management.

Automate Faceup operations through Composio's Faceup toolkit via Rube MCP, with tool discovery and connection management.

Automate Tavily search operations through Composio's toolkit via Rube MCP, with tool discovery and connection management.

Automates Textit operations through Composio's Textit toolkit via Rube MCP, with tool discovery and connection management.

Automate Kickbox email verification and validation tasks through Composio's toolkit via Rube MCP.

Automate Sensibo air conditioner operations through Composio's Sensibo toolkit via Rube MCP.

Automate Abyssale banner and image creation tasks through Composio's toolkit via Rube MCP.

Automate Userlist operations through Composio's Userlist toolkit via Rube MCP, including tool discovery, connection management, and execution.

Automate Flexisign design and production tasks through Composio's Flexisign toolkit via Rube MCP.