LLM Mart Basic

Install, configure, operate, secure, automate, tune, troubleshoot, and recover restic backups across local, SFTP, S3-compatible, cloud, and REST backends. Use when creating or managing a restic repository, designing backup or retention policy, validating restores, handling reposi

Use when designing or implementing software securely: define security requirements, threat-model a feature, choose secure defaults, design authentication and authorization, handle untrusted data and secrets, evaluate dependencies, design multi-tenant trust boundaries, or review s

Plan authorized security reviews with threat modeling, architecture and dependency audits, and vulnerability classification. Use for scoped defensive security assessment. Do not use for offensive operations, unauthorized testing, or security control implementation.

Model and analyze Semantic Spacetime (SST) graphs, distances, trajectories, drift, and model files. Do not use this skill for promise-theory vocabulary and fundamentals without SST modeling; use `promise-theory` for the substrate concepts.

Audit and improve website discoverability across traditional search, answer engines, and generative search. Use for technical SEO, on-page content, structured data, question and entity architecture, AI citations, crawler controls, agent-readable content, and reproducible visibili

Design, operate, and improve reliable production systems with SLOs, incident command, observability, error budgets, and operational practices. Do not use this skill for unrelated requests; route to the nearest named specialist.

Operate Slack workspaces from a terminal or agent: list channels, read messages, follow threads, search message history, list files, and verify inbound webhook signatures — with a bundled slack-cli script that is read-only by default and gates every send behind a --dry-run/--yes

Design and review software architectures from business drivers through system boundaries, tradeoffs, runtime behavior, evolution, and architecture practice. Use when choosing a greenfield or target architecture, comparing modular-monolith and service shapes, designing distributed

Use this skill to reverse-engineer an existing software system, map its

Design and run a Spec-Driven Development (SDD) pipeline for AI software factories — where structured specifications are the input, AI agents generate the code, and quality gates enforce correctness at each phase: SPECIFY → DECOMPOSE → IMPLEMENT → VERIFY → DELIVER. Use when buildi

Structure organizational strategy work: strategic direction, competitive and industry analysis, growth options, capital allocation, acquisitions, and portfolio choices. Use when framing consequential choices about where to compete, how to pursue an opportunity, or how to compare

Read Stripe account state from a terminal or agent: balance, payment intents, and subscriptions — and perform guarded mutations like canceling a subscription — backed by a bundled stripe-cli script that is read-only first and gates every state-changing command behind a --dry-run/

Use this skill when developing applications with Supabase, running the Supabase CLI, designing migrations and RLS policies, testing database behavior, generating client types, deploying the official self-hosted Docker stack, or administering its Postgres, Auth, Storage, Realtime,

Diagnose root causes with a four-phase debugging protocol. Use for ANY technical issue — test failures, production bugs, unexpected behavior, performance problems, build failures, or integration issues. ESPECIALLY when under time pressure, when "one quick fix" seems obvious, or w

Deploy and manage the self-hosted Tailscale/Headscale ecosystem: a Headscale control server, tailscale clients, ACL policies, node lifecycle, subnet routing, DERP relays, and backup/migration. Use when the user mentions Tailscale, Headscale, tailnet, mesh VPN, WireGuard mesh, or

Create and review technical documentation, including READMEs, agent-facing instructions, API references, and CLI help. Use when documentation must help someone complete real work. Do not use for marketing copy, brand messaging, or long-form editorial content.

Manage technical programs made of multiple related projects, products, teams, or vendors: establish the program mandate and benefits, align component work, manage cross-project dependencies and shared capacity, govern risks and decisions, coordinate transformation and adoption, a

Manage technical projects from initiation through delivery and closure: choose and tailor predictive, iterative, Scrum, flow-based, or hybrid approaches; coordinate teams and vendors; track milestones, risks, issues, dependencies, forecasts, scope changes, and recovery. Use when

Build and maintain technology radars for adoption, trial, assessment, and hold decisions, and choose proportionate architecture-governance paths for technology portfolios. Use when governing technology choices, build-versus-buy decisions, architecture standards, exceptions, or en

Operate the observability stack that deploys as one unit: Prometheus scrape configuration, recording and alerting rules, relabeling, retention, and high availability; OpenTelemetry Collector pipelines (receivers, processors, exporters, sampling, trace/span correlation); and Loki

Use MCP Inspector to connect to local or remote servers, inspect capabilities, call tools, read resources, test prompts, and diagnose failures before release.

Build an MCP server in TypeScript with focused tools, validated schemas, local and remote transports, Inspector tests, and production security controls.

An MCP server exposes tools, resources, or prompts through a standard protocol so an AI application can discover and use external capabilities.

Treat an AI agent skill as both an instruction package and a software dependency: inspect what it says, what it runs, what it can access, and how it updates.

Add remote HTTP or local stdio MCP servers to Claude Code, choose the right scope, protect credentials, verify the connection, and test with least privilege.

Skills teach Claude a repeatable method, connectors provide governed access to apps and live data, and plugins package related capabilities for installation and sharing.

Use an agent skill to package reusable know-how and workflow instructions. Use an MCP server when an agent needs live, governed access to external data or actions.

Custom commands and skills can both create a slash-invoked workflow in Claude Code. The important choice is how the workflow is discovered, shared, and permissioned.

A useful Claude skill solves one recurring engineering job, is easy to inspect, and saves more time than it creates in setup and review.

Claude skills can live in your Claude account, your local Claude Code setup, or a repository. Install them where the sessions that need them can load them.

Build a portable AI agent skill from one repeatable job: a precise description, concise instructions, focused resources, and tests that prove it works.

AI agent skills package instructions, scripts, references, and templates into portable folders an agent loads only when the task calls for them.

AI made publishing cheap, which is exactly the problem. What separates a page worth ranking from a competent summary of the first ten results.

A prompt that works once isn't a quality system. Five cases, an observable rubric, and a regression set will tell you whether a change helped.

One character of YAML, four pods that never started, and two safety nets I didn't know were holding. Every restart is an audit. Schedule them before they schedule you.

"Verify your work" isn't an instruction. It's a mood. Here's the version that's an instruction. Verify with a different mechanism than the one that made the claim.

A prompt that works once may still fail in production. A lightweight eval set gives you repeatable cases, a clear rubric, and a way to see whether a prompt change actually improved the workflow.

The best AI tool is not the one with the longest feature list. It is the one that solves a defined job reliably, fits the workflow, handles data appropriately, and remains useful after the novelty wears off.

Use AI to speed research without losing trust. Learn to find primary sources, verify claims, preserve uncertainty, and keep an auditable source trail.

Better prompts aren't magic wording. They're short briefs that hand the model a task, the context it can't infer, the limits, and a quality bar.

Discover testnet↔mainnet subnet lineage from repo configs and open a PR for review (pass --dry-run to report only)

Triage raw inbox notes into reviewed repository destinations without deleting their sources.

Audit and rewrite content to remove AI writing patterns

Log a completed piece of content to content/log.md after the user confirms it was published.

Validate a dream artifact, review each proposal, and apply only individually accepted changes.

Run a curator pass against the validated memory directory and produce a proposal artifact.

End a session — log what happened, update state and the decision log, propose memory updates, and check for uncommitted or unpushed work

Find relevant context files by topic. Use when you need to load files for a topic without a slash command, or when a task spans multiple domains.

Inventory and migrate selected Gemini CLI workflows with dry-run review and parity checks.

Find repeated workflows in selected Gemini CLI sessions and draft portable skills after review.

Scan multi-session drift and offer individually reviewed fixes only after explicit approval.

Scan orphaned worktrees and stale branches, then offer explicit approval-gated cleanup.

Guided onboarding or import for durable workspace context

Start a session — load state files, flag staleness, and give a briefing on current priorities, deadlines, and blockers

Create a morning heartbeat from repository state and update the local heartbeat log.

Mid-session checkpoint — append progress to today's session log and update state files if a priority shifted, without ending the session

Maintainer-only. Find every file that would newly ship to adopters, classify each one against the written distribution-boundary categories, default to withhold on no clean match, and ask the maintainer only where the taxonomy does not settle it. Drives the release CLI, which refuses to produce a manifest until every shipping file has an answer.

Audit memory, wiki, and auto-loaded files for duplication, conflicting instructions, and stale content. The default path researches, then asks you a single Apply / Discuss / Decline question; on Apply it applies the report, files any out-of-scope problem as a tech-debt issue, then commits, opens a PR, and merges it on a main-branch run like /update-deps. Pass --apply to re-run the apply-and-publish stage against the most recent report.

Fix the tech-debt backlog, a single issue or a recommended related batch, highest severity then oldest first, on a fresh isolated branch through the audit gate, closing the issue(s) on merge. Pass `list` to see the ordered backlog, `why <issue-number>` to explain the recommendation, or a bare `<issue-number>` to fix that issue directly.

Health-check and auto-heal this project's Claude integration, triage, heal, verify, and report an F-to-A+ grade.

Your efficient agentic AI coding CLI assistant

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Verifiable program-level self-evolution for AI-for-Science agents: Skills and typed Operators grow from replay-verified executions.

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Local-first AI canvas for visual workflows, AI short drama, image/video generation, storyboarding and asset management. ComfyUI, AI agents, MCP & Blender. 本地优先…

Let any AI coding tool — Claude Code, Cursor, Codex — drive your real Chrome. One-prompt setup, muscle memory, local-first.

runs anywhere. uses anything