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Found 2,045 Skills
Multi-agent review-and-improve loop for a GitHub PR you have checked out — posts a "starting" PR comment cc'ing the original author, runs requested rounds plus any adaptive continuation, applies fix commits to the local branch after each round, pushes everything back to the PR, then edits the starting comment in-place with the synthesized report (or a failure summary). Auto-detects the PR from the currently checked-out branch when no locator is supplied. Use when the user wants to "improve a PR", "review and commit fixes", "iterate on my PR", or "review and push back" against a checked-out PR branch. Requires `gh`, `uuidgen`, `jq`, and `uv` or `python3` on PATH. Activates the `review-anvil` engine in per_fix mode.
Use when designing or improving HOW users move through the product - task analysis, user flows (screens, branches, error paths), screen states, low-fi wireframes, Figma mockups, heuristic UX evaluation and redesign proposals. Maintains docs/ux/flows.md between foundation (stories) and scenarios. Triggers - "user flow" / "юзер флоу", "screen flow" / "флоу экранов", "user path" / "поток пользователя", "improve UX" / "улучши UX", "fix UX" / "почини UX", "wireframe" / "вайрфрейм", "figma" / "фигма", "design a screen" / "нарисуй дизайн", "mockup" / "мокап", "task analysis", "redesign flow".
Collect vehicle listings from Facebook Marketplace — make, model, year, price, mileage, seller. Use when the user wants to collect vehicle listings for research or valuation.
Use when the user asks to "map what our surfaces say today", "inventory our current messaging", or "find the gap between what we say and what we mean"; produces the narrative baseline — a surface-by-surface inventory of what every owned touchpoint (homepage, pricing, docs, decks, social bios, email footers) claims RIGHT NOW, each line labeled Measured / User-provided / Estimated, plus a per-surface gap read vs the intended message and the drift-baseline snapshot the Evaluate phase measures future drift against. Not for authoring the canon — use message-system-architect; not for scoring the surfaces or running the vetoes — use narrative-quality-auditor. 现状叙事盘点/各触点口径/意图差距/漂移基线
Analyzes observability signals from customer GenAI applications with DQL. Reads OpenTelemetry GenAI spans and LLM evaluation bizevents. Use for: golden signals (traffic, errors, latency, saturation); LLM signals (model, provider, tokens); cost/token analytics, usage attribution, and prompt caching; agent signals (tool calls, steps, failures, loop detection, Smartscape topology); conversation/session analytics; guardrails (blocked/truncated responses); and evaluation signals (quality, pass/fail). Trigger: "LLM latency", "token usage by model", "cost by model and provider", "cost per conversation", "who is driving token spend", "do I have prompt caching", "failing agent tool calls", "find runaway agents", "responses truncated or blocked", "failed evaluations", "am I hitting rate limits", "token throughput / TPM", "provider throttling or 429s". Do NOT use for: Davis CoPilot/MCP telemetry (dt-platform), generic service metrics (dt-obs-services), logs (dt-obs-logs), or non-GenAI tracing (dt-obs-tracing).
When the user needs to evaluate competitors, understand the competitive landscape, or position their product against alternatives.
When the user needs to review an existing contract, assess risk in proposed terms, or evaluate a contract before signing.
When the user needs to design or evaluate system architecture — service boundaries, data models, API contracts, infrastructure topology, database selection, or dependency analysis. Also activate for "design the system", "how should I architect this", "monolith vs microservices", or architecture decision records.
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.
Wallet tracking and monitoring on Binance Web3. Monitor token/trade activity for private groups or public Smart Money/KOL data. Four domains: (A) Discovery — consensus, pioneer, leaderboard diff, token buyer lookup, time-window summaries, similar wallets; (B) Evaluation — token risk (tokenRiskLevel ≥ 3), group rhythm, follow list assessment, token heat; (C) Replay — 4h summary, Accumulation/Distribution, sector rotation, anomaly orders, round-trip, first-mover/leader-follower, wake-up, bot-like; (D) Management — group create/rename, batch import, label update, link, follow list; (E) Real-time — WebSocket push for Smart Money, KOL, wallet-level, and address-level trade events. Trigger on: wallet tracker, monitoring, consensus, pioneer, accumulation, Distribution, Sector Rotation, Anomaly Large Order, round-trip, first-mover, wake-up, bot-like, token risk, token heat, group profile, similar wallets, group management, address import, follow list, real-time push, WebSocket — even without "tracker" explicitly.