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Found 219 Skills
Use when querying Jira issues, searching Confluence pages, creating tickets, updating documentation, or integrating Atlassian tools via MCP protocol.
Help users work effectively with their manager and executives. Use when someone is struggling with their manager relationship, needs to influence leadership, wants to get better at executive communication, or is trying to build trust with their boss.
Configure and operate the Neo4j Connector for Kafka (sink + source) and the native Neo4j CDC API. Covers Cypher/Pattern/CUD sink strategies, CDC-based and query-based source, exactly-once semantics, DLQ error handling, Confluent Cloud managed connector, schema registry (Avro/JSON), and native db.cdc.query cursor-loop patterns (Neo4j 5.13+ Enterprise/Aura BC/VDC). Use when streaming Kafka events into Neo4j, streaming Neo4j changes to Kafka, or querying Neo4j change events without Kafka. Does NOT handle Cypher query authoring — use neo4j-cypher-skill. Does NOT handle bulk CSV/file import — use neo4j-import-skill. Does NOT handle GDS algorithms — use neo4j-gds-skill.
Help users align stakeholders and get buy-in. Use when someone is struggling to get approval, facing resistance to their ideas, needs to influence without authority, or is preparing for an important executive presentation.
Generate a ready-to-send FAQ document that anticipates and answers the most common creator questions about a campaign brief, reducing back-and-forth messages and delays. This skill should be used when creating a campaign brief FAQ, writing answers to common creator questions about a brief, building an FAQ attachment for an influencer brief, reducing back-and-forth with creators after sending a brief, anticipating creator questions before launch, preempting influencer confusion about deliverables or timelines, generating a brief companion FAQ, writing a creator-facing Q&A for a campaign, drafting briefing clarifications for influencers, or creating a FAQ sheet to send alongside a content brief. For writing the campaign brief itself, see campaign-brief-generator. For writing individual content briefs, see content-brief-builder. For chasing creators who have not responded to a brief, see universal-creator-follow-up-chaser.
Search across company knowledge bases (Confluence, Jira, internal docs) to find and explain internal concepts, processes, and technical details. When Claude needs to: (1) Find or search for information about systems, terminology, processes, deployment, authentication, infrastructure, architecture, or technical concepts, (2) Search internal documentation, knowledge base, company docs, or our docs, (3) Explain what something is, how it works, or look up information, or (4) Synthesize information from multiple sources. Searches in parallel and provides cited answers.
Enrich contact, company, and influencer data using x402-protected APIs. Superior to generic web search for structured business data. USE FOR: - Enriching person profiles by email, LinkedIn URL, or name - Enriching companies by domain - Finding contact details (email, phone) with confidence scores - Scraping full LinkedIn profiles (experience, education, skills) - Searching for people or companies by criteria - Bulk enrichment operations (up to 10 at a time) - Verifying email deliverability before outreach - Enriching influencer/creator profiles across social platforms TRIGGERS: - "enrich", "lookup", "find info about", "research" - "who is [person]", "company profile for", "tell me about" - "find contact for", "get LinkedIn for", "get email for" - "employee at", "works at", "company details" - "verify email", "check email", "is this email valid" - "influencer", "creator", "influencer contact", "influencer marketing" ALWAYS use `npx agentcash fetch` for stableenrich.dev endpoints - never curl or WebFetch. Returns structured JSON data, not web page HTML. IMPORTANT: Use exact endpoint paths from the Quick Reference table below. All paths include a provider prefix (`https://stableenrich.dev/api/apollo/...`, `https://stableenrich.dev/api/clado/...`, etc.).
Analyze an influencer's audience demographics to determine whether their followers match your target customer, with a clear pass/fail verdict. This skill should be used when evaluating audience fit, checking influencer demographics, analyzing audience data, reviewing an audience breakdown, assessing demographic alignment, vetting an influencer's audience, determining if a creator's followers match your target demo, reviewing a platform export or stats screenshot, pasting influencer stats, grading audience quality, deciding whether an influencer's audience is a good fit, checking if this creator is worth it, running an audience report, comparing creator audiences, or evaluating audience overlap with target demo. For overall creator vetting beyond demographics, see creator-vetting-scorecard. For finding new creators, see creator-discovery.
Builds WPF on .NET 8+. Host builder, MVVM Toolkit, Fluent theme, performance, modern C# patterns.
Technical analysis patterns - Elliott Wave, Wyckoff, Fibonacci, Markov Regime, and Turtle Trading with confluence detection. Use when analyzing charts, identifying trading signals, or calculating technical levels.
Classify a batch of influencer replies into actionable categories (interested, negotiating, declined, needs info, ghosted) and generate a suggested next action for each. This skill should be used when triaging creator responses, classifying influencer replies, sorting outreach responses, categorizing creator DMs, reviewing batch replies, processing influencer inbox, prioritizing creator follow-ups, organizing outreach results, checking who replied to a campaign, figuring out which creators to follow up with, or cleaning up a messy outreach thread. For writing the initial outreach messages, see outreach-writer. For negotiating rates with creators, see rate-negotiation-playbook.
Transforms raw campaign performance data into a structured quarterly business review document with wins, misses, trend analysis, and recommended pivots for the next quarter. This skill should be used when building a QBR for a creator program, writing a quarterly influencer marketing review, summarizing multiple campaigns into a single quarterly report, presenting creator program results to leadership at the end of a quarter, analyzing quarter-over-quarter trends in influencer performance, preparing a board-level summary of the creator marketing program, identifying what worked and what to cut from the creator strategy, building a strategic plan for next quarter's creator campaigns, or reviewing the full roster performance over a quarter. For single-campaign ROI analysis, see campaign-roi-calculator. For weekly status updates, see campaign-status-dashboard-digest. For individual creator scoring, see post-campaign-creator-scorecard.