openspec-sync-specs
Sync delta specs from a change to main specs. Use when the user wants to update main specs with changes from a delta spec, without archiving the change.
Sync delta specs from a change to main specs. Use when the user wants to update main specs with changes from a delta spec, without archiving the change.
This skill provides patterns for working with the data-layer module. Use when creating/editing files in src/data-layer/, src/lib/data/, or adding new data sources.
Break up a large PR into vertical feature slices delivered incrementally via Graphite stacked PRs. All verticals share a single feature flag so the entire feature ships atomically. Use when: splitting a large PR, breaking up a diff, vertical slicing, incremental delivery, phased rollout, or when a PR is too large to review.
Keep anomalib model READMEs, docs pages, image assets, and benchmark/result references in sync
Scale Daft workflows to distributed Ray clusters. Invoke when optimizing performance or handling large data.
Schema.org structured data audit and generation optimized for AI discoverability — detect, validate, and generate JSON-LD markup
Step-by-step audio production with per-stem verification, timing alignment, and incremental quality gates
End-to-end audio production workflow with stems, effects, archiving, and verification
Build complex Excel files through staged, verifiable steps with intermediate CSV outputs for debugging
Systematic debugging workflow for python-pptx presentation generation
Unified workflow that delegates failed web searches to shell_agent for resilient data gathering, then applies anchored spreadsheet proof gates for verified Excel output
Dashboard panel component pattern for aggregator/summary panels that accept pushed partial data updates via updateData(), defer rendering until first data arrives, and incrementally re-render metrics without re-fetching — ideal for panels that synthesize data already fetched by other panels.
Implement efficient virtual scrolling for rendering large lists with DOM recycling, chunk-based rendering, and performance optimizations
Generate the OCE shift status dashboard. Triggers on: 'generate shift dashboard', 'show dashboard', 'shift status', 'status dashboard', 'what's going on', or any request for a NON-SPECIFIC overview of current OCE status (incidents, pipelines, errors).
Detect, validate, and generate Schema.org structured data. JSON-LD format preferred. Use when user says "schema", "structured data", "rich results", "JSON-LD", or "markup".
Build an automated pipeline to defang indicators of compromise (URLs, IPs, domains, emails) for safe sharing and distribute them in STIX format through TAXII feeds and threat intelligence platforms.
Build automated threat intelligence enrichment pipelines in Splunk Enterprise Security using lookup tables, modular inputs, and the Threat Intelligence Framework.
Implementing Cloud Data Loss Prevention (DLP) using Amazon Macie, Azure Information Protection, and Google Cloud DLP API to discover, classify, and protect sensitive data across cloud storage, databases, and data pipelines.
Implements endpoint Data Loss Prevention (DLP) controls to detect and prevent sensitive data exfiltration through email, USB, cloud storage, and printing. Use when deploying DLP agents, creating content inspection policies, or preventing unauthorized data movement from endpoints. Activates for requests involving DLP, data exfiltration prevention, content inspection, or sensitive data protection on endpoints.
Implement a structured threat intelligence lifecycle encompassing planning, collection, processing, analysis, dissemination, and feedback stages to produce actionable intelligence for organizational decision-making.
Use when a task requires multiple workers to collaborate, when tasks have dependencies (parallel/serial), or when you need DAG-based task orchestration within your team.
Interact with decentralized exchanges on Cardano through the Indigo Protocol ecosystem.
Store and retrieve data on IPFS and query collector UTXOs for the Indigo Protocol.