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Found 1,747 Skills
Analyze the bond futures basis by pricing futures, identifying the cheapest-to-deliver, and comparing with yield curves to assess delivery option value and basis trading opportunities. Use when analyzing bond futures, computing the basis, identifying CTD bonds, calculating implied repo rates, or evaluating basis trades.
Describe what an existing SigNoz alert rule does in plain language — the signal it watches, the threshold and evaluation behavior, the notification routing, and a one-line fire-frequency summary so the user knows whether the alert has been active. Make sure to use this skill whenever the user asks "what does this alert do", "explain alert X", "walk me through this rule", "how does my [Y] alert work", "is this alert configured correctly", or otherwise asks for an interpretation of an existing alert's configuration. Static explanation only — for diagnosing a specific firing incident, use `signoz-investigating-alerts`.
Evaluate and cast one or more high-quality votes on pending ideas when probe next routes vote.
International market expansion strategy. Market selection, entry modes, localization, regulatory compliance, and go-to-market by region. Use when expanding to new countries, evaluating international markets, planning localization, or building regional teams.
AI citation readiness audit ONLY (does not touch Google rankings, use blog-rewrite for combined Google+AI work). Use whenever the user wants their content to rank in ChatGPT, Perplexity, Claude, Gemini, or Google AI Overviews. AI citation optimization audit scoring blog posts for ChatGPT, Perplexity, and Google AI Overview citability. Evaluates passage-level citability, Q&A formatting, entity clarity, structured data, and AI crawler accessibility. Generates citation capsules and a 0-100 AI Citation Readiness score. Use when user says "geo", "ai citation", "ai optimization", "citation audit", "aeo", "perplexity optimization", "chatgpt citation".
Helps engineering managers respond to high-urgency requests and use deadlines effectively — produces a five-question framework for evaluating unreasonable deadlines, guidance on scope/staffing/intensity decisions under pressure, Parkinson's Law applied to engineering, and five common deadline mistakes to avoid. Use when the user says "urgent deadline," "everything is on fire," "we need to ship fast," "fake deadline," "unreasonable timeline," "crisis mode," "working weekends," "Parkinson's Law," or "leadership is pushing for faster delivery."
Covers both giving and getting feedback — structures and scripts feedback conversations (positive, constructive, or behavioral) and provides techniques for drawing honest feedback from your own team. Produces SBI-framed feedback statements, opening lines for hard conversations, scripts for real situations, ways to handle resistance, and methods for extracting real feedback from reports. Use when the user wants to give someone feedback, says "how do I tell someone," "this person is struggling," "address a behavior," "hard conversation," "someone is underperforming," "praise this person," "write feedback for," "I need to say something," "difficult conversation," "get feedback from my team," "my team won't give me feedback," "blind spots," or "what does my team think of me." Do NOT use for formal annual or performance reviews (use performance-reviews) or sensitive HR situations that go beyond feedback (use difficult-situations).
Covers the full meeting lifecycle for engineering managers — produces guidance on whether to schedule a meeting, how to run it well, how to protect team focus time, how to kill recurring waste, and how to evaluate a past meeting from a transcript or description. Use when the user says "too many meetings," "meetings are a waste of time," "how do I run this meeting," "meeting agenda," "meeting culture," "nobody comes prepared," "meetings go nowhere," "how do I decline meetings," "distractions," "focus time," "engineers can't focus," "context switching," "protect engineering time," "review this meeting," or "transcript."
Helps engineering managers write messages, announcements, and stakeholder updates that land well — produces a 3-Step Writing Framework (Prepare / Write Simply / Run a Garbage Collector), the Async Re-Explanation Trap (calling out missed messages), and the Compression/Decompression model for diagnosing why messages are misunderstood. Use when the user says "draft a message," "write an announcement," "communicate this change," "how do I word this," "message for my team," "write an update," or "how do I communicate X." Do NOT use for verbal feedback or difficult conversations (use `feedback` or `difficult-situations`).
AI creative director with recursive self-assessment: 20+ methodologies (SIT, TRIZ, Bisociation, SCAMPER, Synectics), 3-axis evaluation calibrated against Cannes/D&AD/HumanKind, 5-phase process from brief to presentation.
AI autonomous research agent for LLM training optimization using opencode as the agent. The agent autonomously modifies train.py, runs experiments, evaluates val_bpb, and iterates to find the best model. Use when: "run autoresearch", "start experiment", "train model", "autonomous research", "optimize LLM training".
Sector screening and ranking — filter and rank A-share / HK / US industry sectors by valuation (PE/PB), capital inflow, price performance (1d/5d/20d), and turnover rate. Outputs a sector leaderboard. Triggers: "板块筛选", "行业筛选", "强势板块", "弱势板块", "板块排行", "行业排名", "资金流入板块", "涨幅最大板块", "板塊篩選", "行業篩選", "強勢板塊", "弱勢板塊", "板塊排行", "行業排名", "sector screener", "sector filter", "sector ranking", "top sectors", "hot sectors", "capital inflow sectors", "sector scan", "industry ranking", "sector performance", "best sectors today".