Loading...
Loading...
Found 2,395 Skills
Help users design and execute a high-signal interview process that prioritizes real-world performance over superficial charisma or pedigree.
Testing and benchmarking LLM agents including behavioral testing, capability assessment, reliability metrics, and production monitoring—where even top agents achieve less than 50% on real-world benchmarks Use when: agent testing, agent evaluation, benchmark agents, agent reliability, test agent.
Evaluate trade-offs and produce a Trade-off Evaluation Pack (trade-off brief, options+criteria matrix, all-in cost/opportunity cost table, impact ranges, recommendation, stop/continue triggers). Use for tradeoff/trade-off, pros and cons, cost-benefit, opportunity cost, build vs buy, ship fast vs ship better, continue vs stop (sunk costs). Category: Leadership.
Comprehensive framework for evaluating AI vendors and solutions to avoid costly mistakes. Use this skill when assessing AI vendor proposals, conducting due diligence, evaluating contracts, comparing vendors, or making build-vs-buy decisions. Helps identify red flags, assess pricing models, evaluate technical capabilities, and conduct structured vendor comparisons.
Dispatch to the right kinhluan-skill based on user intent. Trigger when user says "dùng skill phù hợp", "use right skill", "kinhluan skills", or when multiple skills could apply and you need to pick one.
Runs a 25-point quality control test on a supplier sample before mass production. Catches the defects that turn into 18% return rates and stranded inventory. Produces a back-message to the supplier with specific fixes required before greenlighting the PO. Use when a user mentions Alibaba sample, supplier sample, sample QC, or before mass production. Trigger phrases: "Amazon supplier sample", "Alibaba sample evaluation", "sample QC", "before mass production", "supplier quality test". Works with zero tools.
Rigorously evaluate an Agent Skill end-to-end across ANY coding-agent CLI — verify its scripts emit the documented numbers (deterministic checks), test whether its description triggers on the right prompts, and measure whether an agent following the SKILL.md beats a no-skill baseline (with/without pass-rate delta, mean ± stddev, benchmarked). Use whenever you need to test, benchmark, validate, grade, or quantify a skill's quality, check if a skill "actually works," compare two skill versions, optimize a skill's triggering, or set up an eval suite — even if the user just says "is this skill any good," "does my skill work," or "benchmark this skill." Drives Claude Code, OpenAI Codex, Antigravity (agy), Cursor, GitHub Copilot, Amp, opencode, or Grok in headless mode.
Comprehensive security and safety evaluation system for agent skills (.skill files). Use when users provide GitHub URLs, website links, or .skill files for download and request security assessment, safety evaluation, or ask "is this skill safe to use." Evaluates prompt injection risks, malicious code patterns, hidden instructions, data exfiltration attempts, and provides actionable recommendations with risk scoring.
Estimate the intrinsic value of a public company using DCF, relative (peer multiple) and sum-of-parts (SOTP) methods, then triangulate to an implied share price with upside/downside versus the current market price. Use this skill whenever the user asks: "what is AAPL worth", "valuation of NVDA", "fair value of TSLA", "intrinsic value", "DCF for MSFT", "build a DCF", "discounted cash flow", "WACC", "terminal value", "implied share price", "upside to fair value", "is X overvalued/undervalued", "relative valuation", "peer comparison valuation", "EV/EBITDA target", "SOTP", "sum of the parts", "how much is [company] worth", "price target from fundamentals", "value this company", or any ticker in the context of computing intrinsic or relative valuation. Default to running ALL three methods (DCF + relative + SOTP-if-applicable) and presenting a blended implied price with a sensitivity table. Do not answer valuation questions from memory — always run the workflow.
Industry valuation comparison and distribution analysis via Longbridge — cross-peer valuation matrix (PE / PB / PS / dividend yield), industry-percentile ranking, and industry premium / discount for a single stock. Triggers: "行业估值", "行业溢价", "行业折价", "行业对比", "行业百分位", "同行业估值", "板块估值", "行业贵不贵", "行業估值", "行業溢價", "行業折價", "行業對比", "行業百分位", "板塊估值", "industry valuation", "sector valuation", "industry premium", "industry percentile", "peer valuation", "sector PE", "TSLA.US industry valuation", "700.HK sector comparison".
Quickly judge the current valuation level, historical quantile, relative position among peers, and revaluation conditions of individual stocks. Suitable for scenarios such as initially judging "whether it's expensive", screening valuation positions, discussing odds and expectation requirements.
Luau language fundamentals: syntax, tables, control flow, string patterns, math, idioms, scope, closures, sharp edges, and JS-to-Luau translation.