data-engineering
143
deal-review
Use to run structured opportunity inspections that align pipeline data with buyer reality.
gtmagents
data-ai
sorting
stars
current ordering strategy
query
all entries
refine the visible subset
data-engineering
143
comp-mechanics
Use to assemble rate tables, accelerator logic, and plan governance templates.
gtmagents
data-ai
data-engineering
143
golden-dataset
Golden dataset lifecycle patterns for curation, versioning, quality validation, and CI integration. Use when building evaluation datasets, managing dataset versions, validating quality scores, or integrating golden tests into pipelines.
yonatangross
data-ai
data-engineering
143
ct-epic-architect
Epic planning and task decomposition for breaking down large initiatives into atomic, executable tasks. Provides dependency analysis, wave-based parallel execution planning, hierarchy management, and research linking. Use when creating epics, decomposing initiatives into task trees, planning parallel workflows, or analyzing task dependencies. Triggers on epic creation, task decomposition requests, or planning phase work.
kryptobaseddev
data-ai
data-engineering
143
migrate-dataset
Migrate a legacy OWID dataset (no catalogPath) into the ETL pipeline. Use when user wants to migrate, backport, or convert a legacy dataset by ID, or mentions datasets without catalogPath.
owid
data-ai
data-engineering
143
create-multidim
Create multi-dimensional (multidim/MDIM) chart configurations in the OWID ETL pipeline. Use this skill when the user wants to create a new multidim, build a multi-dimensional chart, combine multiple charts into one with dimension toggles, or mentions 'multidim' or 'MDIM'.
owid
data-ai
data-engineering
143
ct-orchestrator
Pipeline-aware orchestration skill for managing complex workflows through subagent delegation. Use when the user asks to "orchestrate", "orchestrator mode", "run as orchestrator", "delegate to subagents", "coordinate agents", "spawn subagents", "multi-agent workflow", "context-protected workflow", "agent farm", "HITL orchestration", "pipeline management", or needs to manage complex workflows by delegating work to subagents while protecting the main context window. Enforces ORC-001 through ORC-009 constraints. Provider-neutral — works with any AI agent runtime.
kryptobaseddev
data-ai
data-engineering
143
ct-adr-recorder
Records Architecture Decision Records from accepted consensus verdicts. Use when promoting a consensus outcome to a formal ADR: drafts the document in the proposed-then-accepted HITL lifecycle, links to the originating consensus manifest, persists the decision to the canonical SQLite decisions table, and triggers downstream invalidation when an accepted ADR is later superseded. Triggers on phrases like 'write ADR', 'record architecture decision', 'formalize this decision', 'lock in the choice', 'create ADR-XXX', or when a consensus task reaches completed status and needs formalization.
kryptobaseddev
data-ai
data-engineering
142
kql-query-authoring
Use this skill when asked to write, create, or help with KQL (Kusto Query Language) queries for Microsoft Sentinel, Defender XDR, or Azure Data Explorer. Triggers on keywords like "write KQL", "create KQL query", "help with KQL", "query [table]", "KQL for [scenario]", or when a user requests queries for specific data analysis scenarios. This skill uses schema validation, Microsoft Learn documentation, and community examples to generate production-ready KQL queries.
SCStelz
data-ai
data-analysis
142
heatmap-visualization
Use this skill when asked to create heatmaps, visualize patterns over time, show activity grids, or display aggregated data in a matrix format. Triggers on keywords like "heatmap", "show heatmap", "visualize patterns", "activity grid", "time-based visualization", or when analyzing attack patterns, sign-in activity, or event distributions by time period.
SCStelz
data-ai
data-analysis
142
geomap-visualization
Use this skill when asked to create geographic maps, visualize attack origins on a world map, show location-based data, or display IP geolocation. Triggers on keywords like "geomap", "world map", "geographic", "attack map", "show on map", "visualize locations", "attack origins", or when analyzing data with latitude/longitude coordinates.
SCStelz
data-ai
data-engineering
141
archaeology
Transform narratives into a queryable decision graph
notactuallytreyanastasio
data-ai
data-analysis
141
learning-analytics-interpretation-guide
Interpret learning analytics data and translate dashboard findings into actionable teaching decisions. Use when reviewing LMS data, quiz patterns, or engagement metrics.
GarethManning
data-ai
data-engineering
139
gke-reliability
Workflows for ensuring high availability and reliability of GKE workloads.
GoogleCloudPlatform
data-ai
machine-learning
138
tinker-training-cost
Calculate training costs for Tinker fine-tuning jobs. Use when estimating costs for Tinker LLM training, counting tokens in datasets, or comparing Tinker model training prices. Tokenizes datasets using the correct model tokenizer and provides accurate cost estimates.
sundial-org
data-ai
machine-learning
138
training-data-curation
Guidelines for creating high-quality datasets for LLM post-training (SFT/DPO/RLHF). Use when preparing data for fine-tuning, evaluating data quality, or designing data collection strategies.
sundial-org
data-ai
data-engineering
138
create-boss
Distill a real boss into an AI skill, or generate a boss skill from a famous entrepreneur archetype such as Elon Musk, Steve Jobs, Jeff Bezos, or Jensen Huang. Use when the user wants boss analysis, managing-up guidance, persona extraction, or entrepreneur-style boss presets.
vogtsw
data-ai
data-engineering
137
stash-dynamodb
Integrate CipherStash encryption with Amazon DynamoDB using @cipherstash/stack/dynamodb. Covers the encryptedDynamoDB helper for encrypting items before PutItem and decrypting after GetItem, bulk encrypt/decrypt for BatchWrite and BatchGet, querying with encrypted partition and sort keys via HMAC attributes, nested object encryption, audit logging, and the DynamoDB attribute naming conventions (__source/__hmac). Use when adding encryption to a DynamoDB project, encrypting items before writes, decrypting items after reads, or querying encrypted DynamoDB attributes.
cipherstash
data-ai
data-engineering
137
stash-drizzle
Integrate CipherStash encryption with Drizzle ORM using @cipherstash/stack/drizzle. Covers the encryptedType column type, encrypted query operators (eq, like, ilike, gt/gte/lt/lte, between, inArray, asc/desc), schema extraction, batched and/or conditions, EQL migration generation, and the complete Drizzle integration workflow. Use when adding encryption to a Drizzle ORM project, defining encrypted Drizzle schemas, or querying encrypted columns with Drizzle.
cipherstash
data-ai
data-engineering
136
ddia-principles
Designing Data-Intensive Applications (DDIA) distilled reference guide by Martin Kleppmann. MUST be loaded when: designing database schemas, choosing storage engines, implementing replication or partitioning, handling distributed transactions, building batch/stream processing pipelines, choosing consistency models, implementing consensus, designing data flow architectures, evaluating trade-offs between availability and consistency, encoding/serialization decisions, data modeling (relational vs document vs graph), building fault-tolerant systems, or any system design and architecture discussion involving data-intensive applications. Trigger on: database design, replication, partitioning, sharding, transactions, isolation levels, consistency, consensus, CAP theorem, batch processing, stream processing, MapReduce, Kafka, event sourcing, CDC, OLTP, OLAP, B-tree, LSM-tree, data warehouse, schema evolution, encoding formats, distributed systems, fault tolerance, leader election, quorum.
luoling8192
data-ai