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Found 4,751 Skills
Memoro platform help — German GDPR-first AI meeting assistant with local device recording, customizable Blueprints, and searchable Memories. Use when setting up Memoro for a team, choosing between Memoro plans (Free/Plus/Pro/Ultra), Memoro transcription quality is poor or wrong language detected, Memoro Blueprints not producing the right output format, Memoro recordings not syncing across devices, comparing Memoro vs Jamie or Granola for bot-free EU-hosted recording, or evaluating GDPR-compliant meeting note-takers hosted in Germany. Do NOT use for reviewing a specific call for coaching (use /sales-call-review) or comparing note-takers broadly (use /sales-note-taker).
Unbounce platform help — landing page builder, Smart Traffic AI optimization, Smart Copy AI copywriting, A/B testing, popups, sticky bars, Dynamic Text Replacement, AMP pages, REST API. Use when landing page built in Unbounce isn't converting, Smart Traffic not improving conversions, A/B test setup in Unbounce, popup or sticky bar not triggering, Unbounce page loads too slowly, choosing between Build vs Experiment vs Optimize plan, connecting Unbounce to CRM or email tool, or Dynamic Text Replacement not working. Do NOT use for general funnel strategy (use /sales-funnel) or general CRO methodology (use /sales-vwo).
Coconote platform help — Quizlet's AI note-taker that records lectures and auto-generates study guides, flashcards, quizzes, and AI-narrated podcasts from recordings. Use when setting up Coconote for recording lectures and generating study materials, troubleshooting recordings that crash or fail to save on long lectures, figuring out why Coconote requires payment info before accessing the free plan, choosing between Coconote free and Pro subscription tiers, comparing Coconote to Voicenotes or AudioPen or Cleft Notes for voice capture, evaluating Coconote for student lecture note-taking across iOS and Android, or understanding why Coconote only generates one quiz and one flashcard set per note. Do NOT use for comparing AI meeting note-takers for sales teams (use /sales-note-taker) or reviewing a sales call for coaching (use /sales-call-review).
Ecosystem self-evolution orchestrator. Detects project lifecycle phases, evaluates agent relevance, synthesizes cross-agent knowledge, and proposes evolution actions (health checks, fitness scoring, evolution proposals).
Audit token waste across agent systems (Claude Code, OpenClaw, Hermes, OpenCode). Detect idle burns, model misrouting, and config bloat with dollar savings.
Guided, section-by-section GDD authoring for a single game system. Gathers context from existing docs, walks through each required section collaboratively, cross-references dependencies, and writes incrementally to file.
Use when the user says "This is a long-running task. Record it." or "Create task memory for this long-running task", or when a new long-running task needs separate tracking across sessions.
Authoritative reference for the neo4j-agent-memory Python package — a graph-native memory system for AI agents built on Neo4j — and for the hosted service (NAMS) at memory.neo4jlabs.com. Use this skill whenever the user mentions neo4j-agent-memory, agent memory with Neo4j, context graphs, the POLE+O model, MemoryClient/MemorySettings, the memory MCP server, or any of the framework integrations (LangChain, PydanticAI, CrewAI, AWS Strands, Google ADK, Microsoft Agent Framework, OpenAI Agents, LlamaIndex). Also use when the user mentions the hosted service at memory.neo4jlabs.com, NAMS, the Neo4j Agent Memory Service, the `nams_` API key prefix, or the hosted MCP endpoint. Also use when writing documentation, blog posts, tutorials, PRDs, or code samples for the project, when comparing agent memory approaches, or when positioning graph-native memory against vector-only approaches — even if the user doesn't explicitly name the package.
Detects and prevents code injection attacks targeting serverless functions (AWS Lambda, Azure Functions, Google Cloud Functions) through event source poisoning, malicious layer injection, runtime command execution, and IAM privilege escalation via function modification. The analyst combines static analysis of function code, CloudTrail event correlation, runtime behavior monitoring, and IAM policy auditing to identify injection vectors across the expanded serverless attack surface including API Gateway, S3, SQS, DynamoDB Streams, and CloudWatch event triggers. Activates for requests involving Lambda security assessment, serverless injection detection, function event poisoning analysis, or serverless privilege escalation investigation.
You are **Infrastructure Maintainer**, an expert infrastructure specialist who ensures system reliability, performance, and security across all technical operations. You specialize in cloud archite...
Expert in conversion tracking architecture, tag management, and attribution modeling across Google Tag Manager, GA4, Google Ads, Meta CAPI, LinkedIn Insight Tag, and server-side implementations. Ensures every conversion is counted correctly and every dollar of ad spend is measurable.
Error-to-fix playbook for every known failure mode on the OpenFinance backend — Polymarket, Relay, Hyperliquid, Privy delegation, and Solana RPC issues. Use this the moment a call fails, returns an unexpected status, or behaves inconsistently with on-chain state. Triggers on ANY of these error signatures verbatim or in paraphrase. Polymarket: "allowance: 0 but on-chain shows max", "CLOB reports allowance 0", "approvals confirmed but order rejected", "404 upstream" on market orders, "tick size" rejection, "order size below minimum", USDC.e vs pUSD vs native USDC confusion, V1 vs V2 exchange confusion. Relay: "InstructionFallbackNotFound", "Custom:101", "Custom:6000", "AnchorError", "Blockhash not found", "TransactionExpired", "No valid authorization signatures were provided", "Solana wallet is not delegated to the app", 412 delegation errors, quote succeeded but execute failed, stuck funds on Solana, stuck funds cross-chain, topupGas forced off. Hyperliquid: "Insufficient perp account value", "price out of bounds", WebSocket stale data, spot vs perp balance confusion. General: any "why is X failing", "why does on-chain and API state disagree", "what does this error mean". Read this BEFORE assuming a bug in the MCP or backend — most of these errors are already catalogued with known fixes.