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Found 12,002 Skills
Explains what blockchain intelligence is, standard tool categories (explorers, dashboards, tracers, visualizers), and traditional vs crypto payment rails context. Use when the user asks what blockchain intelligence means, how to read on-chain data at a high level, SWIFT vs settlement, stablecoin rails, or which classes of tools exist for chain analysis.
Use when proxy shows dial tcp timeout or i/o timeout. Use when service port doesn't match proxy expectation.
Builds multi-layer features as vertical end-to-end slices instead of horizontal layers. Each slice is verified before the next begins. Use when: starting any task that spans 2+ layers (DB, API, UI, tests), building CRUD features, implementing multi-step flows, decomposing features into subtasks, or planning implementation order.
Creates a git worktree from main for a Linear issue. Use when the user pastes a Linear URL (https://linear.app/.../issue/ABC-58/...), a Linear "copy as prompt" string, or just an issue ID like "ABC-58". Handles URL parsing, branch name derivation, and worktree creation as a sibling directory. Also use when asked to "make a worktree for ABC-58", "set up a branch for this issue", or "create a worktree".
Use when starting feature work that needs isolation - creates a temporary branch for implementation work with safety verification
The fastest and easiest way to build with Stream: Chat, Video, Feeds and Moderation — including live SDK docs search.
Generate or edit images from text prompts. Use when the user asks to create, draw, design, or edit an image, illustration, photo, icon, poster, or any visual content.
Clarify the user’s intent for vague, incomplete, or ambiguous clauses, statements, and requirements before modifying the code.
Ensures proper Python dependency management, avoiding global `pip install` and adhering to project-specific tooling. Use this skill if any of the following are true: 1. Attempting to run `pip install {package_name}`. 2. Python packages or dependencies need to be added or modified. 3. Initiating a new Python project. 4. Creating a new notebook, even if just using BigQuery cells. 5. Generating Python code that includes `import` statements for third-party libraries. 6. Before executing Python scripts via the terminal to ensure the correct virtual environment is active.
Set up and run experiments in LaunchDarkly. Create experiments with metrics and treatments, start iterations to collect data, and monitor results.
Investigate Kubernetes workload, node, and control-plane issues using OTel telemetry (EDOT). Use when diagnosing pod failures (CrashLoopBackOff, OOMKilled, Error), node pressure, resource exhaustion, image pull failures, admission rejections, autoscaling anomalies, or correlating K8s state with application signals. OTel ingest path only — the legacy ECS Kubernetes integration shape is out of scope.
Triage failing Shiplight YAML tests: reproduce failures, inspect evidence, apply minimal correct fixes, report app/spec mismatches, and update project memory.