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Found 359 Skills
Solana hackathon resource advisor for Colosseum builders. Use when a builder asks which sponsor tools, SDKs, RPC providers, wallets, identity, payments, privacy, governance, NFT, game, mobile, DeFi, or developer resources to use for a hackathon project.
Guides ML/research engineering for safeguards—safety classifier development, harm benchmarks and eval suites, labeled dataset design, fine-tuning and ablations, calibration and slice analysis, attack-surface research memos, and promotion criteria for new moderation models. Use when building or evaluating guardrail models, designing safety benchmarks, measuring precision/recall on policy categories, comparing mitigation techniques, or writing research reports on classifier improvements—not for production inference gateways (ml-infrastructure-engineer-safeguards), PII/leakage privacy research (privacy-research-engineer-safeguards), red-team attack campaigns (ai-redteam), AI governance policy (ai-risk-governance), general non-safety research (ai-researcher), or token-efficiency studies (research-engineer-scientist-tokens).
Guides CI/CD for agent skills repositories and skill packages—pipeline design (build, test, validate, package), GitHub Actions for PR checks and release promotion, environment gates, secrets hygiene (no secrets in repo), skill-creator integration (quick_validate.py, package_skill.py), .skill artifact strategy, rollback, and operational runbooks for skill releases. Use when the user mentions CI/CD, CI/CD engineer, pipeline design, GitHub Actions, skill validation CI, package skills, release pipeline, deploy skills, PR checks, continuous integration, or skill release workflow—not application-only CI without skill packaging (devops), pre-flight plan go/no-go (build-validator), IDP or golden paths (platform-engineer), org-wide SLO and error-budget programs without pipeline ownership (site-reliability-engineer), or portfolio catalog governance without pipeline YAML (ai-skill-manager).
Analyzes events through political science lens using IR theory (Realism, Liberalism, Constructivism), comparative politics, institutional analysis, and power dynamics. Provides insights on governance, security, regime change, international cooperation, and policy outcomes. Use when: Political events, international crises, elections, regime transitions, policy changes, conflicts. Evaluates: Power distributions, institutional effects, actor interests, strategic interactions, norms.
Screen and analyze stocks through an ESG (Environmental, Social, Governance) lens, evaluating sustainability practices, controversy exposure, and responsible investing criteria. Use when the user asks about ESG investing, sustainable investing, socially responsible investing (SRI), impact investing, green stocks, carbon footprint analysis, governance quality assessment, controversy screening, exclusion lists, or ESG scoring of companies or portfolios.
Analyzes events through indigenous knowledge systems using relational thinking, seven generations principle, reciprocity, holistic integration, and traditional ecological knowledge frameworks. Provides insights on interconnectedness, long-term sustainability, collective wisdom, and decolonial perspectives. Use when: Environmental decisions, resource stewardship, community governance, decolonization, intergenerational planning. Evaluates: Relationships, sustainability, collective impact, indigenous rights, traditional knowledge integration.
Lead an organizational transformation toward a modern product operating model (not “framework adoption”). Produces an Organizational Transformation Pack (diagnostic, target operating model, pilot plan, roadmap, comms, governance). Use for org transformation, product operating model change, moving from feature teams to empowered product teams, and change management. Category: Leadership.
Builds scalable design systems with tokens, theming, and component architecture. Use when creating design token hierarchies, theming systems, component variant patterns, or accessibility foundations. Use for design tokens, CVA variants, dark mode, multi-brand theming, Radix headless UI, Storybook documentation, and governance.
Routes Snowflake-related operations to Cortex Code CLI for specialized Snowflake expertise. Use when user asks about Snowflake databases, data warehouses, SQL queries on Snowflake, Cortex AI features, Snowpark, dynamic tables, data governance in Snowflake, Snowflake security, or mentions "Cortex" explicitly. Do NOT use for general programming, local file operations, non-Snowflake databases, web development, or infrastructure tasks unrelated to Snowflake.
Write programmatic Node.js or TypeScript scripts that drive the DatoCMS Content Management API using @datocms/cma-client, @datocms/cma-client-node, or @datocms/cma-client-browser — the code-first companion for content-heavy and automation work. Prefer this skill whenever the task needs real code for records, uploads, or project automation — including short mid-conversation asks like "publish them", "fix those slugs", "delete all drafts", or "bulk import this CSV", and longer checked-in scripts. Covers four areas: (1) content operations — create/update/delete/publish records, bulk import/export and CSV pipelines, pagination over large record sets, asset uploads from URL or local files with metadata, structured text and block payload edits; (2) environment and project governance — fork/promote environments, webhooks and build triggers, project settings and maintenance mode, scheduled publish/unpublish workflows, audit logs, usage analytics, subscription limits; (3) access control and typed flows — roles and API tokens, upload tracks and tags, generated CMA schema types for type-safe record operations; (4) schema and UI configuration when the user explicitly bypasses the migrations workflow or wants schema mutations embedded in a larger script — models, fields, blocks, saved filters, dashboard and schema menus, plugin install and configuration. For ordinary schema changes inside a project with a migrations workflow or a secondary environment, prefer `datocms-cli` migrations as the safe default; reach for this skill only when the user opts out or the mutation is part of a broader automation. Works for both one-off execution via `cma:call` / `cma:script` and checked-in `buildClient()` scripts for reusable or unattended code.
Retrieve ESG ratings and scores using Octagon MCP. Use when analyzing Environmental, Social, and Governance ratings, MSCI ESG ratings, Sustainalytics risk ratings, industry ESG rankings, and sustainability metrics for any public company.
Chief AI Officer advisory for startups: model build-vs-buy decisions (API vs fine-tune vs in-house), AI risk classification under EU AI Act + US state patchwork, AI cost economics (API-to-self-hosted breakeven), and AI team org evolution. Use when deciding whether to call an API or fine-tune, classifying AI use cases for regulatory risk, calculating when self-hosting pays off, sequencing AI hires, or when user mentions CAIO, AI strategy, model selection, foundation model, fine-tuning, EU AI Act, NIST AI RMF, AI governance, model risk, or AI economics. Strategic only — does not duplicate engineering AI/ML skills.