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Guides Qdrant query throughput (QPS) scaling. Use when someone asks 'how to increase QPS', 'need more throughput', 'queries per second too low', 'batch search', 'read replicas', or 'how to handle more
OfficialSkillMIT★ 40k in collectionNo key
PostgreSQL-specific development assistant focusing on unique PostgreSQL features, advanced data types, and PostgreSQL-exclusive capabilities. Covers JSONB operations, array types, custom types, range/
in the skill textpatterns, and advanced capabilities. ## � PostgreSQL-Specific Features ### JSONB Operations ```sql -- Advanced JSONB queries CREATE TABLE events ( id SERIAL PRIMARY KEY, data JSONB NOT NULL, created
OfficialSkillMIT★ 40k in collectionNo key
Get best practices for Entity Framework Core
in the skill textowned entity types for value objects ## Performance - Use AsNoTracking() for read-only queries - Implement pagination for large result sets with Skip() and Take() - Use Include
OfficialSkillMIT★ 40k in collectionNo key
Diagnoses and fixes slow Qdrant search. Use when someone reports 'search is slow', 'high latency', 'queries take too long', 'low QPS', 'throughput too low', 'filtered search is slow', or 'search was f
OfficialSkillMIT★ 40k in collectionNo key
Guides Qdrant query throughput (QPS) scaling. Use when someone asks 'how to increase QPS', 'need more throughput', 'queries per second too low', 'batch search', 'read replicas', or 'how to handle more
OfficialSkillApache-2.0★ 256 in collectionNo key
Create tldr summaries for GitHub Copilot files (prompts, agents, instructions, collections), MCP servers, or documentation from URLs and queries.
OfficialSkillMIT★ 40k in collectionNo key
Check progress for a detached KERMT run (pretrain, finetune, or any kermt_run_detached invocation). Reads run.json, queries docker for container state, tails the pretrain/finetune log, and parses prog
OfficialSkillApache-2.0★ 3.6k in collectionNo key
Assists in provisioning instances/tables, designing performant schemas, and querying data in Bigtable. Use when designing Bigtable row keys, configuring column families, writing SQL queries or client
OfficialSkillApache-2.0★ 21k in collectionNo key
PostgreSQL-specific code review assistant focusing on PostgreSQL best practices, anti-patterns, and unique quality standards. Covers JSONB operations, array usage, custom types, schema design, functio
in the skill textFROM orders WHERE data->>'status' = 'shipped'; -- No index support -- ✅ GOOD: Indexable JSONB queries CREATE INDEX idx_orders_status ON orders USING gin((data->'status')); SELECT * FROM
OfficialSkillMIT★ 40k in collectionNo key
Assists in provisioning instances and databases, designing performant schemas, and querying data in Spanner. Use when designing primary keys, writing SQL queries or client library code, or diagnosing
OfficialSkillApache-2.0★ 21k in collectionNo key
Systematic Power BI performance troubleshooting prompt for identifying, diagnosing, and resolving performance issues in Power BI models, reports, and queries.
OfficialSkillMIT★ 40k in collectionNo key
Creates, manages, and queries Arize datasets and examples. Covers dataset CRUD, appending examples, exporting data, and file-based dataset creation using the ax CLI. Use when the user needs test data,
OfficialSkillMIT★ 40k in collectionNo key
Use when working in a project that depends on @prisma/orm-postgres, @prisma/orm-sqlite, or @prisma/orm-mongo (Prisma 8, formerly Prisma Next): editing contract.prisma or a contract.ts builder, running
in the skill textcontract emit`, planning or applying migrations, editing migration.ts, writing db.orm / db.sql / db.query queries, wiring db.ts or middleware, integrating a build tool, using the Supabase extension
OfficialSkillApache-2.0★ 48k in collectionNo key
Integrate Microsoft Graph SDK into any project — .NET, TypeScript/JavaScript, or Python. Covers auth patterns (client credentials, OBO, managed identity), SDK setup, calling Graph APIs, batching, delt
in the skill textclient credentials, OBO, managed identity), SDK setup, calling Graph APIs, batching, delta queries, change notifications, throttling, and permission scopes. Use when accessing Microsoft 365 data (users
OfficialSkillMIT★ 40k in collectionNo key
Summarizes data lineage graphs on Google Cloud to help users debug data quality issues and understand data provenance for BigQuery and Cloud Storage. Use when summarizing upstream and downstream data
in the skill textdata as an intuitive Markdown report. Don't use for generic BigQuery queries, editing lineage relationships, or downstream deprecation. Don't use for downstream blast-radius
OfficialSkillApache-2.0★ 21k in collectionNo key
Protocol for sending queries, delegating tasks, and sharing context between independent Squad instances across different repositories
OfficialSkillMIT★ 5.4k in collectionNo key
Sparse4D for multi-camera temporal 3D object detection and tracking. Uses sparse queries with deformable attention across camera views and time for end-to-end 3D perception, with an instance bank for
OfficialSkillApache-2.0★ 3.6k in collectionNo key
Guides Qdrant search strategy selection. Use when someone asks 'should I use hybrid search?', 'BM25 or sparse vectors?', 'how to rerank?', 'results are not relevant', 'I don't get needed results from
in the skill textkeyword matching critical (brand names, SKUs), acronyms common. Skip when: pure semantic queries, all data in training set, latency budget very tight. - Dense + sparse with `prefetch
OfficialSkillMIT★ 40k in collectionNo key
Universal SQL code review assistant that performs comprehensive security, maintainability, and code quality analysis across all SQL databases (MySQL, PostgreSQL, SQL Server, Oracle). Focuses on SQL in
in the skill textquery = f"DELETE FROM orders WHERE user_id = {user_id}"; -- ✅ SECURE: Parameterized queries -- PostgreSQL/MySQL PREPARE stmt FROM 'SELECT * FROM users WHERE id = ?'; EXECUTE stmt USING @user
OfficialSkillMIT★ 40k in collectionNo key
Expert Spring Boot 4 testing specialist that selects the best Spring Boot testing techniques for your situation with Junit 6 and AssertJ.
in the skill textTest Slice? | Scenario | Annotation | Reference | |----------|------------|-----------| | Controller + HTTP semantics | `@WebMvcTest` | references/webmvctest.md | | Repository + JPA queries | `@DataJpaTest` | references/datajpatest.md | | REST client + external APIs | `@RestClientTest` | reference
OfficialSkillMIT★ 40k in collectionNo key
Query official Microsoft documentation to find concepts, tutorials, and code examples across Azure, .NET, Agent Framework, Aspire, VS Code, GitHub, and more. Uses Microsoft Learn MCP as the default, w
in the skill textThis is the primary tool for the vast majority of Microsoft documentation queries. | Tool | Purpose | |------|---------| | `microsoft_docs_search` | Search learn.microsoft.com — concepts, guides, tutorials, configuration | | `microsoft_code
OfficialSkillMIT★ 40k in collectionNo key
Diagnoses and fixes slow Qdrant search. Use when someone reports 'search is slow', 'high latency', 'queries take too long', 'low QPS', 'throughput too low', 'filtered search is slow', or 'search was f
OfficialSkillApache-2.0★ 256 in collectionNo key
Guides Qdrant query volume scaling. Use when someone asks 'query returns too many results', 'scroll performance', 'large limit values', 'paginating search results', 'fetching many vectors', or 'high c
in the skill textlarge reduction in inter-shard data transfer, especially for high-limit queries across many shards. The 1.2x safety factor and the 99.9% Poisson threshold keep
OfficialSkillMIT★ 40k in collectionNo key
OneFormer for universal image segmentation. Unifies panoptic, instance, and semantic segmentation with a single architecture using task-conditioned queries. Use when training, evaluating, exporting, q
OfficialSkillApache-2.0★ 3.6k in collectionNo key
Different techniques to optimize the performance of Qdrant, including indexing strategies, query optimization, and hardware considerations. Use when you want to improve the speed and efficiency of you
in the skill textresponse for a single query, while throughput is the number of queries that can be processed in a given time frame. Depending on your use case
OfficialSkillMIT★ 40k in collectionNo key
Guides Qdrant scaling decisions. Use when someone asks 'how many nodes do I need', 'data doesn't fit on one node', 'need more throughput', 'cluster is slow', 'too many tenants', 'vertical or horizonta
in the skill textScaling for Query Throughput If your system needs to handle more parallel queries than a single node can handle, then you need to scale for query
OfficialSkillMIT★ 40k in collectionNo key
Diagnoses Google Ads account performance issues such as conversion loss (value or volume), low lead flow/volume, and lost impression share (opportunities) due to ad rank, bids, or budgets. Use when tr
in the skill textissues. ## Workflows ### Identifying Active Client Accounts Most diagnostics tasks require sending GAQL queries to a specific customer account. If the customer ID is not explicitly provided
OfficialSkillApache-2.0★ 21k in collectionNo key
Guides Qdrant query latency optimization. Use when someone asks 'search is slow', 'how to reduce latency', 'p99 is too high', 'tail latency', 'single query too slow', 'how to make search faster', or '
in the skill textaimed at minimizing per-query resource usage to allow more parallel queries. ## Performance Tuning for Lower Latency - Increase segment count to match CPU cores (`default_segment
OfficialSkillMIT★ 40k in collectionNo key
Selecting WHO handles work is the Routing table; selecting HOW they handle it (Direct, Lightweight, Standard, Full) is Response Mode. This skill contains the complete decision table, exemplar prompts
in the skill textLightweight** | Single-file edits, small fixes, follow-ups, simple scoped read-only queries | Spawn ONE agent with minimal prompt (see Lightweight Spawn Template below). Use `agent
OfficialSkillMIT★ 5.4k in collectionNo key
Identifies Oracle-to-PostgreSQL migration risks by cross-referencing code against known behavioral differences (empty strings, refcursors, type coercion, sorting/collations, UNION ALL planner risks, m
in the skill textIdentify the migration scope** List the affected database objects (procedures, triggers, queries, views) and the application code that calls them. **Step 2: Screen each insight for
OfficialSkillMIT★ 40k in collectionNo key
Rigorous challenge profile for Anitta: assumption checks, evidence calibration, and defensible reasoning patterns for Ember collaboration.
in the skill textevidence quality. - Keep challenge constructive and specific. ## Query Authoring Standard When sharing queries, use fully qualified object names by default. - Include cluster and database prefixes. - Avoid
OfficialSkillMIT★ 40k in collectionNo key
Power BI semantic modeling assistant for building optimized data models. Use when working with Power BI semantic models, creating measures, designing star schemas, configuring relationships, implement
in the skill textstar schemas, configuring relationships, implementing RLS, or optimizing model performance. Triggers on queries about DAX calculations, table relationships, dimension/fact table design, naming conventions, model documentation, cardinality
OfficialSkillMIT★ 40k in collectionNo key
A persistent, compounding knowledge base combining Karpathy's LLM Wiki pattern with a structured knowledge graph. Ingest documents once — the LLM writes wiki pages, extracts entities/relations into th
in the skill textonce and stored as a navigable knowledge graph. BFS traversal answers structural queries without re-reading sources. 3. **Raw source layer** — Original documents are stored immutably
OfficialSkillMIT★ 40k in collectionNo key
Audits Python + BigQuery pipelines for cost safety, idempotency, and production readiness. Returns a structured report with exact patch locations.
in the skill textbeing executed more than once in a single run? Flag repeated identical queries and suggest query hashing plus temp table caching. **Flag immediately if:** - Any
OfficialSkillMIT★ 40k in collectionNo key
Use this skill to get context about Fabric Lakehouse and its features for software systems and AI-powered functions. It offers descriptions of Lakehouse data components, organization with schemas and
in the skill textACID transactions, versioning, and time travel - **SQL analytics endpoint** for T-SQL queries - **Semantic model** for Power BI integration - Support for other table formats like CSV
OfficialSkillMIT★ 40k in collectionNo key
Designs a tailored multi-product agentic data science architecture on Google Cloud that incorporates opinionated best practices. Use when architecting multi-product solutions for agent-based data anal
in the skill textagent-based data analytics or ML workloads. Don't use for simple queries, non-agentic pipelines, general cloud reviews, or writing agent code. # Data science workflow
OfficialSkillApache-2.0★ 21k in collectionNo key
Provides safety-critical validation, guardrails, and data reduction for gcloud CLI operations across Google Cloud Platform (GCP) services and infrastructure. Use when planning, generating, constructin
in the skill textcreate`) before proposing or executing the final > command syntax. > > 2. **Planning & Strategy Queries**: When asked for a plan, strategy, or next > steps to achieve a user
OfficialSkillApache-2.0★ 21k in collectionNo key
Use for VSS alert workflows — real-time monitoring, Alert-Bridge subscriptions, Slack notifications, incident queries, camera onboarding. Not for non-alert analytics.
OfficialSkillApache-2.0★ 3.6k in collectionNo key
Manage and query Agent Platform RAG Engine Corpora and retrieve grounded contexts using the Google GenAI SDK. Use when listing RAG corpora or files, inspecting a corpus, retrieving contexts, or genera
in the skill textcontent grounded in a RAG corpus. Do not use for standard database queries (use SQL/Spanner skills), Google Workspace RAG, or other RAG products like gRAG. # Agent
OfficialSkillApache-2.0★ 21k in collectionNo key
Evaluate whether an existing hot path is a credible NVIDIA Warp candidate. Use for irregular or spatial queries, particle or geometry simulation, branch-heavy loops, many small launches, host fallback
OfficialSkillApache-2.0★ 3.6k in collectionNo key
Build with Aurora DSQL — manage schemas, execute queries, handle migrations, diagnose query plans, diagnose cluster performance, load data, and develop applications with a serverless, distributed SQL
OfficialSkillApache-2.0★ 918 in collectionNo key
Find and resume interrupted Copilot CLI sessions using session_store queries
OfficialSkillMIT★ 5.4k in collectionNo key
Perform code reviews following Sentry engineering practices. Use when reviewing pull requests, examining code changes, or providing feedback on code quality. Covers security, performance, testing, and
in the skill textissues, out-of-bounds access - **Performance**: Unbounded O(n²) operations, N+1 queries, unnecessary allocations - **Side effects**: Unintended behavioral changes affecting other components - **Backwards compatibility**: Breaking
OfficialSkillApache-2.0★ 1.1k in collectionNo key
Use when the user asks to inspect Sentry issues or events, summarize recent production errors, or pull basic Sentry health data via the Sentry CLI; perform read-only queries using the `sentry` command
OfficialSkillLink only★ 28k in collection
Query Auto Ontology and validate generated SQL, rows, and answers. Use for MCP or REST access, readiness, authentication, conversations, and grounded questions.
in the skill textAuto Ontology grounded queries ## Purpose Query the current Auto Ontology implementation from an agent without prescribing a harness, SDK, or LangGraph template. Typed workflow artifacts, statuses
OfficialSkillApache-2.0★ 3.6k in collectionNo key
Use this skill when the user is doing hands-on DOCA DMA programming — bringing up a doca_dma context, configuring the single doca_dma_task_memcpy task type, sizing buffers via the doca_dma_cap_task_me
in the skill textmemcpy task type, sizing buffers via the doca_dma_cap_task_memcpy_* queries, setting LOCAL_READ_ONLY / LOCAL_READ_WRITE permissions on source / destination doca_mmap
OfficialSkillApache-2.0★ 3.6k in collectionNo key
Use this skill for hands-on DOCA Ethernet packet-queue work on a BlueField DPU or ConnectX NIC — bringing up a `doca_eth_rxq` or `doca_eth_txq` on a port / representor / SF, picking among the four `en
in the skill textMEMPOOL` / `_SHARED_MEMPOOL`), sizing burst or scatter-gather length against the `_cap_*` queries, submitting `doca_eth_txq_task_send` / `_lso_send` (carrying packet `doca_buf
OfficialSkillApache-2.0★ 3.6k in collectionNo key
Use this skill when the user is doing hands-on DOCA Rivermax work on a BlueField DPU or ConnectX host — standing up `doca_rmax_in_stream` (receive) sessions for timing-precise media-over-IP (SMPTE ST
in the skill textprecondition before any DOCA-side code, running `doca_rmax_get_*_supported` capability queries, pairing with `doca-eth` queues and `doca-flow` steering, or debugging `DOCA_ERROR
OfficialSkillApache-2.0★ 3.6k in collectionNo key
Who stands behind it
Who stands behind it
