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Found 83 Skills
README construction — initialize template structure, generate per-package READMEs from doc comments, plan writing tasks, assemble root README from docs/ and package READMEs via doc.json config, and verify edits with `plan drift`.
Builds site selection and cannibalization analysis workflows in CARTO. Triggers when the user mentions site selection, cannibalization, cannibalizing, new store location, where to open, optimal location, facility placement, network impact, overlapping catchments, twin areas, similar locations, look-alike areas, find locations like my best, store overlap, revenue impact of new store, commercial hotspots, demand hotspots, location scoring, location ranking, expand network, new branch, franchise placement, EV charging siting, or wants to evaluate candidate sites, quantify overlap between trade areas, or find areas that resemble top-performing locations.
Implement hybrid search combining dense vectors and sparse retrieval for optimal RAG results. Use this skill when vector search alone isn't providing accurate results. Activate when: hybrid search, BM25, keyword search, sparse retrieval, dense retrieval, reranking, ensemble retrieval.
Build Amazon FBA reimbursement claims under the 2025 manufacturing-cost policy. Identifies eligible cases (lost units, warehouse-damaged units, customer-return losses, fee errors), assembles the cost-basis evidence Amazon now requires, and produces a claim packet per case within the 60-day window. Use when a user asks about FBA reimbursements, lost inventory claims, warehouse damage, the new reimbursement policy, manufacturing cost evidence, or unrecovered refunds. Trigger phrases: "reimbursement", "FBA claim", "lost inventory", "warehouse damage", "manufacturing cost", "60 day window", "SAFE-T". Works with zero tools. the user pastes the relevant Amazon report rows and supplier invoices.
Auto-assembles review panel using deterministic rules, dispatches agents against plan file, collects verdicts.
Mainstream Spot Order v1.0 — Multi-chain DEX spot trading system. 6-signal ensemble (Momentum, EMA, RSI, MACD, BB, BTC Overlay) on 15m bars, 6 built-in pairs (SOL, ETH, BTC, BNB, AVAX, DOGE), auto-research strategy optimization, per-pair data collection + backtesting + paper/live trading. onchainos CLI driven, Agentic Wallet TEE signing, zero pip dependencies.
Assemble a panel of experts to assess a problem from multiple professional perspectives, surface agreement and disagreement, and deliver a chaired recommendation with clear tradeoffs. Use when the user wants multi-expert judgment, a second opinion, design critique, option comparison, or a recommendation backed by distinct expert viewpoints.
Orchestrate a specialized software development agent team. Receive user requests, classify task type, select the matching workflow, delegate each step to specialist agents via the Agent tool, and assemble the final output. Use when the user needs multi-step software development involving architecture, implementation, testing, security review, or code review. Also use for production incident investigation — when the user reports a live system issue, service outage, pod crash, data anomaly, or needs root cause analysis using kubectl, psql, argocd, or docker. Trigger this skill whenever a task involves more than one concern (e.g., "add a new endpoint" needs BA + Architect + Developer + QA + Security), when the user mentions team coordination, agent delegation, or when the work clearly benefits from multiple specialist perspectives rather than a single implementation pass.
Generate image-based PowerPoint decks from articles, reports, papers, notes, or outlines. Use this skill when the user asks to create a visually unified PPT/PPTX deck where each slide is a full-slide generated image, then assemble those images into a PowerPoint file.
Data Cloud 360° view of a single Agentforce session. Pulls 24 STDM + GenAI DMO rows via the DC Query REST API, assembles a hierarchical session tree (Interaction → Step → Generation → GatewayRequest), renders a human-readable summary with transcript + per-turn topic/action invocations + LLM generations + tool calls + audit chain. TRIGGER when user asks to trace, inspect, summarize, or describe a specific Agentforce session by session id (Agent Session UUID `019d…` or MessagingSession id `0Mw…`). Also triggers on session discovery — find/list/search sessions by time, agent, channel, outcome, or conversation text — when the user has no session id yet. DO NOT TRIGGER for design-time architecture questions (use investigating-agentforce-architecture instead) or for runtime perf/latency/SLO questions that require platform telemetry beyond Data Cloud.
Assembles component outputs from AI Design Components skills into unified, production-ready component systems with validated token integration, proper import chains, and framework-specific scaffolding. Use as the capstone skill after running theming, layout, dashboard, data-viz, or feedback skills to wire components into working React/Next.js, Python, or Rust projects.
Internal utility skill for media assembly operations. NOT called directly by users. Used by producer skills (video-producer, podcast-producer, audio-producer, social-producer) to stitch, mix, and assemble final media outputs.