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Found 2,126 Skills
When the user wants to identify, evaluate, or prioritize potential investors for a fundraising round. Also activates when the user asks "who should I pitch?", "find me investors", "build an investor list", or mentions VC/angel targeting.
When the user needs to design an interview process, create interview questions, build scorecards, calibrate interviewers, or evaluate candidates for a role.
Use when a developer wants to iterate on ONE specific Agent Observability / LLM Obs trace whose output they didn't like — re-running that trace against their LOCAL code, seeing a concise diff of the old vs new output, and looping (change code → replay → diff) until satisfied. Invoked as /agent-observability-replay-trace <trace-id> [changes to test]. Signals: "replay this trace"; "iterate on a trace"; "this trace's output is wrong, fix it and re-run"; "re-run trace <id> with <change>"; pasting a trace id from the Agent Observability UI with a description of what to fix. It fetches the trace via the datadog-llmo MCP or the pup CLI, edits code, re-runs the app to emit a NEW trace, and diffs the two — no local server, no browser. For agents traced with ddtrace / LLM Obs (Python first-class), with JSON-serializable entry input. Do NOT use for: scored Experiments or the browser "Replay" button (that's agent-observability-replay-experiment), building an experiment from a dataset/CSV, writing evaluators, root-causing failed traces, or RUM/HTTP session replay.
Query OpenRouter's Benchmarks API for model benchmark rankings and scores. Use when the user asks for benchmark-backed model selection, model rankings by coding/intelligence/agentic ability, Artificial Analysis or Design Arena ELO/win-rate results, benchmark citations, or wants to call GET /api/v1/benchmarks. Also use alongside openrouter-models when the user asks what model should power an app, product, workflow, or use case and benchmark evidence could inform or rule out part of the recommendation, including creative writing, editing, coding, design, agentic, or intelligence-heavy apps. Do not use for OpenRouter usage analytics, billing/spend analysis, generation metadata, provider uptime/latency, generic model pricing/capability lookup without any selection or benchmark-relevance decision, or creating an evaluation suite for a local app.
Identify underserved market gaps and unmet customer needs in e-commerce. Analyzes competitor blind spots, review pain points, search demand without adequate supply, and emerging customer segments.
In-depth design-focused code review - understands codebase context before evaluating PR changes, posts structured feedback to GitHub
Search, score, scan, and import agent skills from GitHub repositories that contain SKILL.md, CLAUDE.md, .cursorrules, and similar agent skill files. Discover community skills across many tool and provider categories, evaluate relevance with heuristic scoring, check for malware or hardcoded secrets, and install into Hermes, Claude Code, Gemini CLI, or OpenCode agent directories.
TripAdvisor Content API for hotel ratings, restaurant search, attraction reviews, rankings, and nearby locations. Use when evaluating hotels or researching destinations. 5K calls/month.
Produces human-sounding text that avoids detectable AI writing patterns. Activates on any writing task — tweets, emails, articles, bios, captions, reports, copy, messages, LinkedIn posts, cover letters, README files, or any content where the output must not read as AI-generated. Enforces banned vocabulary, structural variety, punctuation discipline, accuracy rules, and voice calibration. Use when the user says "write," "draft," "rewrite," "make this sound human," "anti-slop," "not AI," or any variation of wanting authentic-sounding output.
MariaDB-specific features and capabilities that go beyond standard MySQL. Use when evaluating MariaDB, optimizing an existing MariaDB application, reviewing code or schema for MariaDB improvements, asking what MariaDB can do that other databases cannot, or migrating from Oracle to MariaDB. Also use when the user asks what could be improved in how a codebase uses MariaDB, or asks about MariaDB advantages over MySQL or PostgreSQL.
Help users identify sources of durable competitive power, evaluate market threats, and design products that are uniquely differentiated rather than just better versions of existing tools.
Integrate insurance into a financial plan: decide what risks to retain vs transfer, size life insurance with needs-based and human-life-value analysis, and evaluate disability, long-term care, annuity, and liability coverage. Use when the user asks 'how much life insurance do I need', 'term vs whole life', about 'disability insurance' (own-occupation vs any-occupation, group vs individual), 'long-term care' insurance or self-insuring LTC, 'should I buy an annuity' (SPIA, DIA, variable, indexed), or an 'umbrella policy' for liability protection. Also trigger on 'DIME method', 'life insurance calculator', 'whole life vs invest the difference', 'elimination period', 'benefit period', 'hybrid LTC policy', '1035 exchange', 'beneficiary review', or questions about insurance riders, surrender charges, or whether an advisor can recommend insurance products.