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Found 1,832 Skills
Run the solution space in two modes — DIVERGE prepares the workshop (traceable How Might We, seed ideas sealed until the humans have ideated, a timeboxed agenda and the board written zone by zone) and CONVERGE reads what the team produced and voted and writes the Value Map plus the prototype brief. Manually triggered, sixth station of the discovery pipeline; it never picks the winning idea.
Release workflow architecture for versioning, artifact promotion, rollout safety, and rollback design. Use for release pipelines. NOT for generic CI tuning or infrastructure.
Analyzes and designs batch and streaming data pipelines with contracts, lineage, reliability, and cost controls. Use for ingestion and transformation systems. NOT for ad-hoc analysis or schema design.
Design event-driven systems: contracts, topics, consumers, retries, idempotency, and sagas. Use for asynchronous workflows. NOT for CRUD APIs or ETL pipelines.
Workload-aware architecture design for VeloDB/Apache Doris. MUST USE when designing data architectures, choosing between data models, planning ingestion strategies, sizing clusters, or translating business requirements into VeloDB/Doris system designs. Complements velodb-best-practices with decision frameworks and sizing-first workflow. Use when user describes a workload involving: IoT, sensor data, telemetry, real-time analytics, dashboard, log analysis, log search, CDC sync, time-series, device monitoring, point query service, ad-hoc analytics, lakehouse federation, ETL/ELT pipeline, report analytics, clickstream, user behavior, observability, metrics, fleet tracking, or any OLAP workload requiring table design from scratch. Also triggers on prompts like: "design a table for...", "how should I store...", "build an architecture for...", "we have X devices sending data every Y seconds", "recommend a cluster size for...", "what data model should I use for...", "we need to ingest X GB/day", "migrate from MySQL/PostgreSQL to VeloDB". Also use for legacy analytics/search/serving stack consolidation prompts even when VeloDB is not named explicitly, including replacing or migrating from Impala, Kudu, Elasticsearch/ES, Greenplum, Presto, HBase, Hive, Hadoop, Redis, or Lambda-style multi-engine data platforms.
Configures preprocessors, postprocessors, and runners around InferenceModel via manifest specs and ComponentRegistry. Use when editing physicalai.inference.preprocessors or postprocessors, manifest preprocessor/postprocessor lists, instantiate_component, registered type names, or class_path init_args for inference pipeline components.
Application security testing (AppSec) across a whole product with Strix — decide which asset needs which test (source code, running web app, API, CI pipeline), run it, and turn the results into a ranked remediation plan. Autonomous agents exploit and prove each issue instead of emitting static-analysis alerts, so the plan is ordered by what is actually reachable. Use when the user asks for an application security review or audit, an appsec assessment, vulnerability scanning across their stack, a security review before a launch or a customer security questionnaire, or does not yet know which kind of security test they need.
Perform static application security testing with tools like Semgrep, CodeQL, and SonarQube. Identify security vulnerabilities in source code before deployment. Use when implementing secure SDLC, code review automation, or security gates in CI/CD pipelines.
Orchestrate AI/ML pipelines for data ingestion, model training, batch inference, and RAG indexing using Prefect, Airflow, or Dagster. Build reliable, observable, and retriable workflows for production AI systems.
A YouTube API alternative on fetcher.sh — pay-per-call in USDC via x402, or prepaid credits with a Bearer key, no OAuth and no daily quota. Use when the user wants to search YouTube videos with filters for upload date, duration, or sort order, search channels or playlists, look up a channel by ID, @handle, or custom URL path, list a channel's videos, shorts, or live streams, fetch a video's or short's details and comments, list a playlist's videos, pull posts under a hashtag, or check trending videos by region. Also covers YouTube data pipelines, channel monitoring, video analytics input, and trend tracking without the official YouTube Data API's daily quota limits.
Expert sales strategy and operations guidance for B2B SaaS companies. Use when designing sales processes, implementing qualification frameworks (MEDDIC, BANT, SPICED), territory planning, forecasting, quota setting, compensation design, or optimizing pipeline velocity. Covers sales methodology, org structure, tech stack selection, win rate analysis, and deal acceleration strategies.
Design and implement Product Operations systems that help product teams scale (cadences, standard artifacts, insights pipelines, release enablement). Produces a Product Ops Operating System Pack (charter, operating model, rituals, templates, implementation plan). Use for product ops, product org scaling, standardizing roadmaps/check-ins, release management enablement.