AI & ML

orcaqubits Skill

Implement WebMCP security best practices — permission model, data minimization, honest descriptions, input validation, fingerprinting prevention, and fraud mitigation. Use when auditing or hardening WebMCP tool implementations.

orcaqubits Skill

Implement A2A push notifications — callback URL registration, notification delivery, and management methods. Use when building async notification delivery for long-running A2A tasks.

orcaqubits Skill

Implement AP2 as an A2A extension — mandate DataParts in A2A messages, Agent Card AP2 capabilities, payment-specific task flows, and inter-agent payment communication. Use when integrating AP2 payment capabilities into A2A multi-agent systems.

jmagly-ai-writing-guide Bundle

Detect requests for iterative autonomous agent loops and route to the appropriate loop executor

jmagly-ai-writing-guide Skill

Run evaluation tests against an agent to assess quality and archetype resistance

orcaqubits Skill

Build an AP2 Merchant Agent — the seller-side agent that receives intent mandates, searches product catalogs, creates signed cart mandates, and represents the merchant in agentic transactions. Use when implementing the Merchant Endpoint role.

orcaqubits Skill

Build an AP2 Shopping Agent — the main orchestrator that handles user requests, creates mandates, coordinates with merchants and credentials providers, and manages the transaction flow. Use when implementing the Shopping Agent role.

orcaqubits Skill

Customize NLWeb's LLM prompts and per-Schema.org-type behavior via `prompts.xml` and `site_types.xml` — covers the `<promptString>` template format, `<returnStruc>` JSON schemas, prompt inheritance, decontextualization/ranking/generate templates, per-site overrides, and pitfalls of editing prompts in place. Use when tuning answer quality, supporting a new domain, or localizing prompts.

orcaqubits Skill

Build an AP2 Credentials Provider — the agent that manages payment credentials, provides payment methods to users, handles tokenization (DPAN), and facilitates secure payment between Shopping Agent and Payment Processor. Use when implementing the Credentials Provider role.

orcaqubits Skill

Implement WebMCP tool annotations — readOnlyHint, destructiveHint, idempotentHint safety hints that inform browser permission prompts and agent behavior. Use when marking tools with appropriate safety metadata.

jmagly-ai-writing-guide Skill

Scan source code and report agent-readiness metrics with actionable recommendations

jmagly-ai-writing-guide Skill

Orchestrate SDLC phase gate validation with multi-agent review and comprehensive reporting

jmagly-ai-writing-guide Skill

Validate phase gate criteria with multi-agent review and generate pass/fail reports

jmagly-ai-writing-guide Skill

Orchestrates issue-driven agent loops that post cycle status to issue threads and incorporate human feedback in each cycle.

jmagly-ai-writing-guide Skill

Abort a running agent loop and optionally revert changes

jmagly-ai-writing-guide Skill

Generate an aggregate agent quality report from evaluation results, showing scores, regressions, and recommendations

orcaqubits Skill

Implement the AP2 human-not-present transaction flow — autonomous agent shopping with Intent Mandate authorization, constraint enforcement, and merchant escalation. Use when building autonomous agent purchasing that works after the user has left.

frank-luongt Skill

Identify disruption opportunities using Blue Ocean Strategy, Jobs-to-be-Done, and business model innovation frameworks.

techwavedev Skill

Statistical models library for Python. Use when you need specific model classes (OLS, GLM, mixed models, ARIMA) with detailed diagnostics, residuals, and inference. Best for econometrics, time series, rigorous inference with coefficient tables. For...

techwavedev Skill

You are an expert in LLM observability and evaluation. You think in terms of traces, spans, and metrics. You know that LLM applications need monitoring just like traditional software - but with different dimensions (cost, quality, latency).

techwavedev Bundle

Important: Before you begin, fill in the generatedBy property in the meta section of .actor/actor.json. Replace it with the tool and model you're currently using, such as "Claude Code with Claude Sonnet 4.5". This helps Apify monitor and improve AGENTS.md for specific AI tools and models.

techwavedev Skill

Add and manage evaluation results in Hugging Face model cards. Supports extracting eval tables from README content, importing scores from Artificial Analysis API, and running custom model evaluations with vLLM/lighteval. Works with the model-index metadata format.

lev-os Bundle

Routes adaptive multi-agent deliberation with fractal context cycles. Use when using /cdo, think/deep/debug/parliament work, or long runs paired with autoresearch scheduling.

lev-os Skill

Single-model forced-framing diversity with inline synthesis. Turn-manager protocol: unfold → synthesize → reduce → conclude. Use for decision synthesis and strategic alignment. Cheaper than /cdo, richer than /think.

lev-os Skill

cass CLI session search across coding agents with JSON or robot output. Use when user needs session evidence, cross-agent search, handoff recovery, or transcript-backed claims.

lev-os Skill

Agent mail for multi-session coordination. Wraps levmail CLI. Register, send, inbox, claim, broadcast, roster.

techwavedev Skill

Automate Amplitude tasks via Rube MCP (Composio): events, user activity, cohorts, user identification. Always search tools first for current schemas.

techwavedev Skill

Automate Bitbucket repositories, pull requests, branches, issues, and workspace management via Rube MCP (Composio). Always search tools first for current schemas.

techwavedev Skill

Automate Freshdesk helpdesk operations including tickets, contacts, companies, notes, and replies via Rube MCP (Composio). Always search tools first for current schemas.

techwavedev Skill

Automate Instagram tasks via Rube MCP (Composio): create posts, carousels, manage media, get insights, and publishing limits. Always search tools first for current schemas.

techwavedev Skill

Expert guide for using n8n-mcp MCP tools effectively. Use when searching for nodes, validating configurations, accessing templates, managing workflows, or using any n8n-mcp tool. Provides tool selection guidance, parameter formats, and common patterns.

techwavedev Skill

Automate OneDrive file management, search, uploads, downloads, sharing, permissions, and folder operations via Rube MCP (Composio). Always search tools first for current schemas.

techwavedev Skill

Automate PagerDuty tasks via Rube MCP (Composio): manage incidents, services, schedules, escalation policies, and on-call rotations. Always search tools first for current schemas.

techwavedev Skill

Tools are how AI agents interact with the world. A well-designed tool is the difference between an agent that works and one that hallucinates, fails silently, or costs 10x more tokens than necessary. This skill covers tool design from schema to error handling. JSON Schema best practices, description writing that actually helps the LLM, validation, and the emerging MCP standard that's becoming the lingua franca for AI tools. Key insight: Tool descriptions are more important than tool implementa

techwavedev Skill

Automatic agent selection, intelligent task routing, and platform-adaptive orchestration. Analyzes user requests and automatically selects the best specialist agent(s). Detects the runtime platform (Claude Code, Gemini, Opencode) and proactively recommends enabling platform-specific features like Agent Teams and Plugins.

lev-os Skill

Use when listing, inspecting, running, or managing prompt-stack sessions. Triggers on "stack", "list stacks", "show stack", "init stack", "run stack", "stack status".