svg153/svg153-skills

Publish and maintain Agent Skills as genuinely consumable releases: validate packaging, version stable artifacts, test multiple clients, synchronize downstream catalogs, register with skills.sh without inflating telemetry, distinguish detail-page availability from search indexing, configure GitHub discovery metadata, and clean up temporary release probes. Use when releasing, distributing, publishing, indexing, cataloging, or improving discoverability of an Agent Skill.

Create Gentle AI pull requests with issue-first checks. Trigger: creating, opening, or preparing PRs for review.

Trigger: PRs over 400 lines, stacked PRs, review slices. Split oversized changes into chained PRs that protect review focus.

Design docs that reduce cognitive load. Trigger: writing guides, READMEs, RFCs, onboarding, architecture, or review-facing docs.

Write warm, direct collaboration comments. Trigger: PR feedback, issue replies, reviews, Slack messages, or GitHub comments.

Trigger: community PR review, collaborador, external PR, outsider PR, comunidad. Evaluate external contributor PRs for security, injection, profile legitimacy, and code quality before merge.

Trigger: cost-tips, chronicle cost, optimizar costos, ahorrar tokens, revisar costos, gasto tokens. Analiza uso de tokens, cruza con skills/automatizaciones activas, detecta ineficiencias y propone mejoras o skills nuevas.

Automate domain purchase, DNS configuration, and GitHub Pages setup for projects. Uses Cloudflare Registrar (cheapest + DNS + SSL + CDN included). Trigger: managing domains, buying domains, configuring DNS, setting up custom domains for GitHub Pages.

Auto-sync all skills from svg153/skills GitHub repo. Maintains symlinks from /hermes-home/skills/ to the canonical repo. Before any task, verify symlinks are current by pulling latest from repo. Trigger: any skill management, skill updates, or when unsure if a skill is up to date.

Investigate consequential claims and decisions through current primary sources, evidence quality, competing explanations, uncertainty, and personalized tradeoffs. Use when the user asks whether a claim is true, whether something is worthwhile, requests a critical comparison or probability, shares promotional content, or wants practical next steps across technology, household, finance, health, and services.

Complete Gentle-AI setup: persona, Engram MCP, GGA pre-commit, and SDD skills.

Search GitHub and the open-source ecosystem before substantial implementation, then verify fit, license, maintenance, security, governance and adoption cost and decide USE, CONTRIBUTE, FORK or BUILD. Trigger before implementing non-trivial apps, services, libraries, plugins or feature-level capabilities that may already be solved, including auth, payments, scraping, browser automation, notifications, search/RAG, observability, GitHub automation, media processing/transcription, queues, schedulers, rate limiting and workflow engines. Also use for GitHub/open-source alternatives, repository comparisons, build-vs-reuse decisions, or when deciding whether to adopt, contribute to, fork or rebuild an existing project.

Assess and maintain GitHub repositories through prioritized issues, implementation, tests, pull requests, documentation, review, merge, and releases. Use when the user asks to continue a repository, clear a backlog, work through issues, improve a project autonomously, plan phases, coordinate authorized agents, or create an ongoing repository-maintenance workflow.

Trigger: Go tests, go test coverage, Bubbletea teatest, golden files. Apply focused Go testing patterns.

Design and evaluate Home Assistant installations, device choices, smart-home protocols, room sensors, automations, voice control, networking, power resilience, backups, and migrations. Use when the user asks about Home Assistant hardware, Zigbee, Thread, Matter, Wi-Fi, Bluetooth, coordinators, blinds, environmental monitoring, local voice, NAS hosting, or phased smart-home purchasing.

Create Gentle AI issues with issue-first checks. Trigger: creating GitHub issues, bug reports, or feature requests.

Trigger: judgment day, dual review, adversarial review, juzgar. Run blind dual review, fix confirmed issues, then re-judge.

Expose canonical Agent Skills from an MCP server through io.modelcontextprotocol/skills without creating a second behavior source of truth. Use when adding or auditing provider-side skills/list, skills/get, resources/read, manifest integrity, security boundaries, official conformance, evidence levels, and standalone fallback for mixed-client support.

Trigger: performance audit, analizar rendimiento, mejorar performance, optimizar app, revisar re-renders, bundle size, lazy load. Analiza un repositorio React/Vite/TypeScript, identifica 10 mejoras de rendimiento, crea PR para la más impactante y issues para las demás replicando el formato del repo.

Implement SDD tasks from specs and design. Trigger: orchestrator launches apply for one or more change tasks.

Archive a completed SDD change by syncing delta specs. Trigger: orchestrator launches archive after implementation and verification.

Create the SDD technical design and architecture approach. Trigger: orchestrator launches design for a change.

Explore SDD ideas before committing to a change. Trigger: orchestrator launches exploration or requirement clarification.

Trigger: sdd init, iniciar sdd, openspec init. Initialize SDD context, testing capabilities, registry, and persistence.

Walk users through the SDD workflow on the real codebase. Trigger: orchestrator launches onboarding for the full SDD cycle.

Create an SDD change proposal with intent, scope, and approach. Trigger: orchestrator launches proposal work for a change.

Write SDD delta specs with requirements and scenarios. Trigger: orchestrator launches spec work for a change.

Break an SDD change into implementation tasks. Trigger: orchestrator launches task planning for a change.

Trigger: SDD verification phase, verify change. Execute tests and prove implementation matches specs, design, and tasks.

Trigger: new skills, agent instructions, documenting AI usage patterns. Create LLM-first skills with valid frontmatter.

Trigger: improve skills, audit skills, refactor skills, skill quality. Audit and upgrade existing LLM-first skills.

Create, register, or repair skills and governed capability Agent Plugins in svg153/skills through zero-write plans, explicit ownership, approval hashes, rollback, catalog registration, and validation. Use for catalog lifecycle work, not ordinary skill prose edits or releases.

Trigger: update skills, skill registry, actualizar skills, after skill changes. Index available skills by trigger and path.

Research and compare products or services before a purchase, especially home, household, technology, networking, appliances, and smart-home equipment. Use when the user asks what to buy, shares product links, compares models or shops, asks whether an upgrade is worthwhile, or wants prices, compatibility, alternatives, and a critical recommendation.

Plan, fact-check, draft, adapt, and maintain credible social posts, comments, reposts, threads, and long-form articles for LinkedIn, X/Twitter, blogs, and community channels. Use when turning technical work, research, repositories, events, or external posts into publishable content while preserving attribution, evidence, tone, and privacy.

Plan commits as reviewable work units. Trigger: implementation, commit splitting, chained PRs, or keeping tests and docs with code.