mlflow
MLflow is an open-source platform for managing the machine learning lifecycle, including tracking, packaging, and deploy
Skills
Find an Agent Skill for your task. Read the guide and copy the install command.
Updated 10-26 00:15
Agents & models
24,822 results
xai-grok
xAI Grok API: OpenAI-compatible at api.x.ai/v1, grok-3/grok-3-mini for fast AI reasoning
integrate
Add Olakai monitoring to existing AI code — wrap your LLM client, configure custom KPIs, and validate the integration end-to-end
prompt-structurer
Convert prose prompts into compact, structured XML prompt contracts through staged passes. Use when a user asks to structure, harden, formalize, debug, revise,…
grill-me
Interview the user relentlessly about a plan or design until reaching shared understanding, resolving each branch of the decision tree. Use when user wants to…
webmcp
Open a user-provided URL in the host's built-in browser and use the page's MCP or WebMCP tools before browser UI automation for app communication or edits.
wayfinder
Plan a huge chunk of work (more than one agent session can hold) as a shared map of decision tickets on your issue tracker, and resolve them one at a time…
ask-skills
Route a request to the smallest composable local skill flow without duplicating orchestration or removed super-autopilot behavior.
chisel
Use Chisel MCP filesystem tools efficiently — patch-based edits, minimal token reads, shell exec patterns, and anti-patterns to avoid.
polylane-automations
Author, scope, and operate Polylane automations — unattended agent runs wired as trigger → instructions → tools → actions → destinations. Use when the user…
re-attribution
Threat attribution methodology: Diamond Model, infrastructure graphing, confidence grading, and attribution reporting. Trigger words: attribution, APT, attribution, attacker identity, infrastructure graphing, Diamond Model, threat group.
re-tee
TEE/TrustZone reverse engineering: OP-TEE architecture, Trusted App, secure storage, SMC interfaces, and device keys. Triggers: TEE, TrustZone, OP-TEE, Trusted App, secure world, SMC, secure storage, device keys
mcp-management
[AI & Tools] Use when discovering, filtering, executing, or integrating MCP tools, prompts, and resources.
agents-md-sync
Only use when the user explicitly invokes /agents-md-sync (or $agents-md-sync in Codex). Never auto-invoke. Analyzes the entire repository and creates hierarchical AGENTS.md…
figure-it-out
Design an auditable playbook when no narrower one fits: a large migration, an ambitious multi-part change, or work a human reviews after stepping away. Scales…
poteto-mode
poteto's agent style for concise, detailed responses, deliberate subagents, unslopped prose, simple code, and verified work. Use for poteto, /poteto-mode, or…
reflect
Spawn three parallel review subagents over the active transcript, surface learnings, and route each to a concrete edit on an existing skill. Use when the user…
swarm
Fan out N parallel workers, drain them, and return one report. Use for /swarm, 'swarm this', or parallel coverage, races, gauntlets, and exploration.
subagent-prompt
Produce a comprehensive prompt that hands off the current session's work to a fresh session for sub-agent-orchestrated execution. Use when the user wants to…
gitlab-cli
GitLab CLI for AI Agents. JSON is the default; use --compact for token efficiency and --format text/raw only when needed. Read reference/*.md for the module…
agent-manager
Employee agent lifecycle management system. Use when working with agents/ directory employee agents - starting, stopping, monitoring, or assigning tasks to…
council-execution
Executes council queries by running the query pipeline across selected AI providers (Gemini, OpenAI, Grok, Perplexity), displaying formatted responses…
prompt-engineer
Optimize prompts for LLMs. Use when crafting system prompts or improving agent performance.
team-lead
(forwward) Orchestrates multi-agent engineering and business teams by analyzing tasks, selecting team shapes, assigning specialist roles, and coordinating…