LLM Mart Basic

Ship an Android app to testers or to Google Play, or push an update to an app already listed there. Use when the user says "make the Android app available to testers", "internal/open testing link", "publish to Play", "release the APK/AAB", "Play Console", "upload a new version",

Build an iOS 26+ layered app icon (.icon / Icon Composer) from a designer's SVG, generated by script rather than drawn by hand, and check every appearance without launching the app. Use when the user says "иконка приложения", "сделай иконку", "app icon", "Icon Composer", "layered

Use when "audit KB", "check frontmatter", "find broken links", "tag cleanup", "knowledge base quality", or docs need health check. Do NOT use for SEO audits (/seo-audit) or code reviews (/review).

Use when "build it", "start building", "execute plan", "implement tasks", "ship it", track ID referenced, or plan tasks need execution. Do NOT use for planning (/plan) or scaffolding (/scaffold).

Use when "find communities", "draft outreach", "Reddit promotion", "ProductHunt launch", "community marketing", or need to find relevant threads for launch. Do NOT use for social media posts (/content-gen) or video scripts (/video-promo).

Use when "create content", "write LinkedIn post", "social media pack", "marketing copy", "promotion content", or need social posts from PRD. Do NOT use for community thread responses (/community-outreach) or video scripts (/video-promo).

Use when "find first customers", "первые клиенты", "early adopters", "design partners", "who would buy this", "prospect list", or need an evidence-backed shortlist of potential first customers from public signals. Do NOT use for community thread replies (/community-outreach), mar

Use when "deploy it", "push to production", "set up hosting", or after /build completes and project needs hosting. Do NOT use before build is complete.

Diagnosis loop for hard bugs and performance regressions — build a tight feedback loop first, hypothesise second. Use when user says "diagnose", "debug this", "why is this broken", "почему падает", "тормозит", or reports something throwing, failing, flaky, or slow. Do NOT use for

Check whether a product name is actually free — across domain zones (RDAP + whois), the App Store, Google Play, GitHub and trademarks — before buying anything. Use when the user says "проверь домен", "свободно ли имя", "check this domain", "нужно название", "придумай имя проекту"

Use when "install solo factory", "set up solo", "install all solo skills", "startup toolkit", "solo factory setup", or first-time installation of the startup pipeline.

Use when "github outreach", "competitor dependents", "dependents scan", "propose our lib", or targeting users of competitor libraries. NOT for Reddit (/reddit) or social copy (/content-gen).

Relentless one-question-at-a-time interview that stress-tests a plan, design, or decision before anything gets built. Use when user says "grill me", "прожарь", "разбери мою идею", "stress-test this", "punch holes in this", or a plan still has soft spots. Also reachable by other s

Use when "humanize this", "make it sound human", "strip AI patterns", "clean up the copy", or text reads like AI-generated output with em dashes and stock phrases.

Use when "add languages", "translate the app", "localization", "i18n", "make it multilingual", or when UI strings are hardcoded and a second language is coming.

Use when "index YouTube", "add YouTube channel", "update video index", "index transcripts", or need searchable YouTube content.

Use when "set up solo factory", "initialize profile", "configure defaults", "first time setup", "onboard me", or first session in solo-factory. Safe to re-run. Do NOT use for project scaffolding (/scaffold).

Build iPhone/iOS apps — native SwiftUI or Kotlin-Multiplatform hybrid. Use when scaffolding an iOS app, writing SwiftUI/ARKit/MapLibre features, wiring the Claude Code ↔ Xcode workflow, building or installing on a physical device, or setting up a project so it survives its first

Use when needing methodology reference, asking about principles, harness engineering, SGR, launch playbook, agent memory, decision frameworks, or any topic covered in the solopreneur knowledge base. Also use when the user asks "what do we know about X" or "how does our methodolog

Use when "create landing page", "write landing copy", "hero section", "A/B headlines", "landing content", or need marketing page from PRD. Do NOT use for SEO auditing (/seo-audit).

Fourteen posts of being wrong in production, compressed to checkboxes

Healthy nodes, a quiet network, 300 restarts in three days, and a latency budget measured in milliseconds

Discovery worked. Ping worked. Every TCP connection timed out, and later the tunnel only worked when someone had a terminal open.

Every VM came back. The cluster did not. Declarative systems converge on config, and the datapath isn't config.

A surprising share of AI-in-the-terminal failures aren't the AI. They're zsh, and a version of bash from 2006.

A Claude Code plugin turns standalone project configuration into a namespaced, installable extension that teams and communities can update as one unit.

None of the safety came from the model. It came from six boring habits.

Skills package instructions and references. Subagents run work in a separate context and return results. They solve different problems and can be composed deliberately.

Six hours in, one step left, everything green, and the incident that didn't happen

CLAUDE.md carries persistent project context. Skills load reusable procedures when relevant. Separating stable facts from task-specific workflows keeps both easier to maintain.

Twenty minutes recovering secrets that never existed, and the one sentence from a human that ended it

An API request routing a model's tool call through an approval gate to a remote MCP server

31 config keys, two audits, and why the first one was wrong in both directions

The official MCP Registry stores standardized server metadata rather than package code. Publishers verify a namespace, describe installation or remote access, and submit immutable versions.

Everyone looks at the Dockerfile. The file that actually leaked the key was the project file.

Remote MCP authorization uses established OAuth standards, but secure integration still requires issuer validation, least-privilege scopes, protected token handling, and server-side enforcement.

"Copy it over and switch the reference" is two steps, and the outage lives in the one nobody checks

stdio fits local processes and prototypes. Streamable HTTP fits hosted services and shared integrations. The right choice follows where the capability runs and who must reach it.

The most important rule wasn't about what I could change. It was about what I was allowed to display.

Tools perform operations, resources expose readable context, and prompts provide reusable templates. Choosing the correct primitive makes an MCP server easier to understand and govern.

Guided component creation with proper patterns

Review existing UI for issues and improvements

Initialize a design system with tokens

Generate unit tests for Python, JavaScript/TypeScript, and React code with mocks, edge cases, and coverage gap analysis

Turn a recorded product demo into a prioritized backlog with timestamped evidence.

Turn one screen recording of a bug into an evidence-backed GitHub issue draft (quote, frames, OCR identifiers, wall-clock; silent recordings work too).

Walk a recording's remarks against system logs using wall-clock timestamps.

Turn a recorded meeting (audio is enough) into action items, decisions, and open questions with timestamps.

Turn a recorded workshop or design walkthrough into a structured spec with quoted decisions and open questions.

Turn a narrated screencast into precise, evidence-backed findings JSON (bug / feature / question routing with frame evidence).

Generate and enforce policy gates for AI coding agents (Copilot, Claude Code) — real-time session hooks that deny protected-path edits and dangerous commands, plus a merge-time backstop for anything that bypasses them. Use when asked to "govern AI agents", "block AI from touching secrets", "add an AI policy gate", or "why did the AI agent hook not fire".

Show the active planning-with-files plan (id, mode, attestation, current phase, phase counts)

Start planning-with-files (task_plan.md, findings.md, progress.md); flags --gated, --autonomous, --template analytics, then an optional plan name

Run a paid-ads (ROAS) workflow: audience segments, account structure, ad creative, experiment design, pre-launch signal QA + the account-audit gate, measurement, and attribution. Not sure? Use /aaron-marketing:auto.

Natural-language front door to the marketing pack (narrative/TALE, SEO/GEO/SITE, social/ECHO, email/SEND, Paid Ads/ROAS, influencer/STAR, launch/RAMP). Use when a marketing goal is open-ended or spans disciplines, when it is unclear which skill fits, or for requests like 'help with our marketing', 'grow our traffic', 'plan our launch', 'what should we post', 'is our messaging landing' — it infers the discipline and runs the smallest useful workflow. Add --deep for exhaustive, maximum-rigor, or stress-test runs.

Run an email-marketing (SEND) workflow: deliverability/consent setup, segmentation, email creative, lifecycle flows, newsletter monetization, send-testing, and the email-quality audit gate. Not sure? Use /aaron-marketing:auto.

Run an influencer-marketing (STAR) workflow: audience & creator scouting, campaign targeting, briefs, outreach, amplification, and ROI reporting. Not sure? Use /aaron-marketing:auto.

Run a product-launch (RAMP) workflow: positioning and launch tiering, window/early-access design, message house and asset kits, the launch-readiness gate with a T-1 go/no-go, launch-day execution, and the post-launch prove loop. Not sure? Use /aaron-marketing:auto.

Run a brand-narrative & messaging (TALE) workflow: trace the current message and positioning truth, architect the durable message house/voice/story canon, land it consistently across every surface, and evaluate resonance with tests and drift monitoring. Not sure? Use /aaron-marketing:auto.

SEO/GEO end-to-end along the SITE loop: survey demand and competitors, implement content, tune quality/tech/on-page, and evaluate authority/rankings/reports/memory (--phase survey|implement|tune|evaluate). Not sure? Use /aaron-marketing:auto.

Your Personal AI Assistant; easy to install, deploy on your own machine or on the cloud; supports multiple chat apps with easily extensible capabilities.

Agent OS: the agent gets smarter on its own. We just hold the line: the grading command and expected result never make it into the success contract we hand it.…

Curated systems, benchmarks, and papers etc. on memory for LLMs/MLLMs --- long-term context, retrieval, and reasoning.

:memo: Vimlike Modal Text Editor in Rust

CI-native security testing for MCP servers. Attack simulation, schema drift detection, and health scoring before agents depend on them.

Hermes Agent memory plugin/provider for scope-aware recall, SQLite truth, LanceDB semantic search, and hybrid retrieval.

For You Agent——AI 时代的个人随身数字人格。把你的模型、AI 账号、技能、提示词和工作方式，带到每一个 AI 工具里。

A coding agent: give it a prompt and it reads, writes, runs commands, and searches code in a loop until the work is done, using native tool-calling across OpenA…

A secure persistent personal agent server in Rust. One binary, sandboxed execution, multi-provider LLMs, voice, memory, Telegram, WhatsApp, Discord, Teams, and…

Self-evolving agent: grows skill tree from 3.3K-line seed, achieving full system control with 6x less token consumption

DeepSeek Harness Desktop (dsh-desktop). EAC: Embracing All Creation (揽尽万象). Bundled Node.js runtime with full dsh-CLI kernel, one-click startup, 10 built-in UI…

See your agent think. Zero-config observability & governance for 26 AI agent runtimes: Claude Code, Cursor, OpenAI Codex, GitHub Copilot, Gemini CLI, Cline, Ope…

Save 94% on AI coding tokens. Index your codebase, agents search instead of reading files. Works with Claude Code, Codex, Copilot, Cursor, Gemini CLI. Local MCP…

Yet another coding agent harness, lightweight and written in go.

a coding Agent from pi. ∞ providers, sub-agents, hashline edits, and a permission gate

Omnigent is an open-source AI agent framework and meta-harness: orchestrate Claude Code, Codex, Cursor, Pi, and custom agents — swap harnesses without rewriting…

🧠 Leon is your open-source personal assistant.

The Station, an open-world multi-agent environment that models a miniature scientific ecosystem.

The Frontend Stack for Agents & Generative UI. React, Angular, Mobile, Slack, and more. Makers of the AG-UI Protocol

VelaTerm = iTerm2 + Codex, The Best Terminal for AI Coding