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Found 6,688 Skills
Read-only root-cause analysis for a tracker issue. Identifies the bug's location and the minimal change surface so the next agent can implement the fix without re-exploring the repo. Outputs a short summary, the files that need to change, and the proposed approach.
Use to set up, configure, ground, or go live with a Salesforce Help Agent (an Agentforce Service Agent in Service Cloud) via a guided four-checkpoint flow. Use whenever a user says any of: set up / create / build / add a help agent, service agent, or support chat agent; add or embed a chat widget on a website or Experience Cloud / LWR site; put a help agent on a channel (web chat, voice, phone, help portal), even while rejecting web chat; ground a help agent on Salesforce Knowledge; or wants an AI to answer customer questions, manage support cases, and escalate to a human. The right skill even when the request names only one part, names a coming-soon channel this skill hard-stops on, or references help-agent-spec.md or the Agentforce Quick Setup wizard. DO NOT TRIGGER when authoring a brand-new agent with no Help Agent lineage (use agentforce-generate), configuring OAuth/ECAs (use integration-connectivity-connected-app-configure), or only deploying metadata (use platform-metadata-deploy).
Render two or more independent questions from an Agent workflow as a local interactive form, preselect recommended answers, save responses as portable JSON, and return submitted answers directly to the waiting Agent command. Use for grilling, brainstorming, requirement clarification, configuration, planning, or any workflow that needs to ask multiple questions at once. Also use the manual recovery path when the user says “已提交”, “提交好了”, or “答完了” after an active Ask UI round.
Invoke when the user asks to review, check, audit, or look over Qt6 QML code -- or suggest before committing. Runs deterministic linting (47+ rules) then six parallel deep- analysis agents covering bindings, layout, loaders, delegates, states, and performance. Optionally invokes system qmllint for type-level checks. Reports only high-confidence issues (>80/100) with structured mitigations. Read-only -- never modifies code.
Build Celigo MCP server resources -- endpoints that expose Tools and builder-mode APIs to external AI agents and MCP clients. Use when creating MCP servers, linking tools or APIs, or configuring annotations and overrides.
Build tools that agents can use effectively, including architectural reduction patterns
This skill should be used when the user asks to "create a replit prompt", "write a prompt for replit", "optimize for replit agent", "prepare instructions for replit", or mentions building something with Replit Agent. Transforms user requirements into optimized, structured prompts that Replit Agent understands and executes accurately with minimal iterations.
Lead coordinator that orchestrates 5 news scraper agents in parallel to gather headlines from 15 top business news websites
Run the mandatory verification stack when changes affect runtime code, tests, or build/test behavior in the OpenAI Agents Python repository.
Run Microsoft's eval-recipes benchmarks to validate amplihack improvements against baseline agents. Auto-activates when testing improvements, running evals, or benchmarking changes.
Persistent memory architecture for AI agents across sessions. Episodic memory (past events), procedural memory (learned skills), semantic memory (knowledge graph), short-term memory (active context). Use when implementing cross-session persistence, skill learning, context preservation, personalization, or building truly adaptive AI systems with long-term memory.
Generate project-level AGENTS.md guides that capture conventions, workflows, and required follow-up tasks. Use when a repository needs clear agent onboarding covering structure, tooling, testing, task flow, README expectations, and conventional commit summaries.