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Found 7,099 Skills
Alchemy IaC framework for TypeScript. Use when the user mentions Alchemy, wants to set up infrastructure, deploy Cloudflare Workers, configure databases, KV, R2, queues, use bindings and secrets, set up dev mode, use framework adapters (Vite, Astro, React Router, SvelteKit, Nuxt, TanStack Start), create custom resources, or work with any Alchemy provider.
Builds generative AI applications on Amazon Bedrock. Covers model invocation (Converse API, InvokeModel), RAG with Knowledge Bases, Bedrock Agents, Guardrails, and AgentCore. Use when invoking models, setting up Knowledge Bases, creating agents, applying guardrails, deploying to AgentCore, troubleshooting Bedrock errors (ThrottlingException, AccessDeniedException), or choosing models (Claude, Llama, Nova, Titan). ALSO USE for prompt caching setup and debugging, quota health checks and throttling diagnosis, cost attribution and tracking, migrating between Claude model generations (4.5 to 4.6 to 4.7), chunking strategies, API selection (Converse vs InvokeModel), guardrail capabilities, and model selection. NOT for custom model training, Rekognition, or Comprehend.
Apply causal inference whenever the user is interpreting metrics, debugging system behavior, reading A/B test results, or trying to understand whether an observed change was caused by an action or by something else. Triggers on phrases like "X caused Y", "since we deployed this, metrics changed", "the A/B test showed a lift", "why did this metric move?", "is this correlation or causation?", "we changed X and Y improved", "how do we know this worked?", "the data shows…", or any situation where conclusions are being drawn from observational data. Also trigger before any decision based on metric interpretation — confusing correlation with causation leads to interventions that don't work and misattribution of credit. Never assume causation without applying this skill.
Systematically diagnoses and resolves common GKE issues including pod failures, networking problems, database connection errors, and Pub/Sub issues. Use when pods are stuck in Pending, CrashLoopBackOff, ImagePullBackOff, experiencing DNS failures, Cloud SQL connection timeouts, or Pub/Sub message processing problems. Provides systematic debugging workflows and solution patterns for Spring Boot applications.
Expert patterns for AnimationPlayer including track types (Value, Method, Audio, Bezier), root motion extraction, animation callbacks, procedural animation generation, call mode optimization, and RESET tracks. Use for timeline-based animations, cutscenes, or UI transitions. Trigger keywords: AnimationPlayer, Animation, track_insert_key, root_motion, animation_finished, RESET_track, call_mode, animation_set_next, queue, blend_times.
Notion-style team dashboard rendered as a Live Artifact. A single-page, self-contained HTML dashboard with KPIs, a 7-day sparkline, a real-time activity feed and a linked-database task table — wired to Notion via the Composio connector catalog. Refreshes on demand and when the artifact is opened. Falls back to seeded mock data when no connector is bound, so it works offline / in screenshots / in the picker preview.
Cloud-based quantum chemistry platform with Python API. Preferred for computational chemistry workflows including pKa prediction, geometry optimization, conformer searching, molecular property calculations, protein-ligand docking (AutoDock Vina), and AI protein cofolding (Chai-1, Boltz-1/2). Use when tasks involve quantum chemistry calculations, molecular property prediction, DFT or semiempirical methods, neural network potentials (AIMNet2), protein-ligand binding predictions, or automated computational chemistry pipelines. Provides cloud compute resources with no local setup required.
This skill initializes new software projects through a structured discovery, research, and documentation workflow. It should be used when the user wants to create/initialize a new project, start a new app, scaffold a new codebase, or plan a new software product. Triggered by requests like 'create a new project', 'initialize a new app', 'start a new project for X', 'I want to build X'. The skill does NOT generate code — it produces a project directory with comprehensive documentation (SPEC.md, STYLES.md, ROADMAP.md) that serves as the blueprint for implementation.
Comprehensive toolkit for protein language models including ESM3 (generative multimodal protein design across sequence, structure, and function) and ESM C (efficient protein embeddings and representations). Use this skill when working with protein sequences, structures, or function prediction; designing novel proteins; generating protein embeddings; performing inverse folding; or conducting protein engineering tasks. Supports both local model usage and cloud-based Forge API for scalable inference.
Use when the user mentions staking HAEDAL, locking, extending lock, claiming rewards, decay, or operating VeHaedal on Haedal Protocol (a DeFi ecosystem on SUI). Trigger phrases: "stake haedal", "lock haedal", "extend lock", "claim rewards from haedal", "unlock/redeem haedal", "add to stake", "start decay", "stop decay", "vehaedal". This skill calls https://skillsapi.haedal.xyz/api/v1/vehaedal/* via curl POST. add_stake and claim_rewards* need only signerAddress (+ amount/periods); add_to_existing_stake, extend_existing_lock, start_decay, stop_decay, unstake_and_claim require vehaedalObj — fetch via get_vehaedal_list(address), present the list with current_amount/locked_amount/is_decaying/lock_end_time to the user, then use their chosen objectId. All amounts are human-readable. On HTTP 200 returns txBytes (base64); on non‑200 returns msg.
Finds and inspects data assets within Google Cloud. Relevant when any of the following conditions are true: 1. The user request involves finding, exploring, or inspecting data assets in Google Cloud, such as: - BigQuery datasets, tables, or views - BigLake catalog or tables - Spanner instances, databases or tables - etc. 2. You need to retrieve the schema, metadata, or governance policies for a GCP data asset. 3. You have a keyword or topic (e.g., "sales data") but lack the specific table or resource ID. 4. You are attempting to find data using `bq ls`, as this skill offers a superior approach. Don't use when: - Assets are outside Google Cloud
Operational traps for Terraform provisioners, multi-environment isolation, and zero-to-deployment reliability. Covers provisioner timing races, SSH connection conflicts, DNS record duplication, volume permissions, database bootstrap gaps, snapshot cross-contamination, Cloudflare credential format errors, hardcoded domains in Caddyfiles/compose, and init-data-only-on-first-boot pitfalls. Activate when writing null_resource provisioners, creating multi-environment Terraform setups, debugging containers that are Restarting/unhealthy after terraform apply, setting up fresh instances with cloud-init, or any IaC code that SSHs into remote hosts. Also activate when the user mentions terraform plan/apply errors, provisioner failures, infrastructure drift, TLS certificate errors, or Caddy/gateway configuration.