LLM Mart Basic

Default module shape for Apple-platform Swift Apps — one Swift Package, multiple targets, a thin App target (`@main` + DI root), CloudKit / GameKit / StoreKit imports confined to service targets, one test target per production target. Use when laying out targets in Package.swift,

Checklist of SwiftUI interaction bugs that pass code review but break at runtime: tap-target shrink under `.buttonStyle(.plain)`, inert sidebar `Label`s, `horizontalSizeClass` on Mac, `.task` re-fire, blank `fullScreenCover(isPresented:)` race, stale `dynamicTypeSize` in modals,

Wire SwiftUI navigation as data on the iOS 26 / macOS 26, Swift 6 baseline: one `@Observable @MainActor` Router in `.environment`, `NavigationStack(path:)` over a typed `Route` enum, `navigationDestination(for:)` at the stack root, `item:`-driven sheets and covers, `.onOpenURL` d

Design the app-side event pipeline that fans one `telemetry.observe(event)` call out to logging, tracking, MetricKit and Game Center sinks. Use when deciding whether Logger and analytics tracking share one interface; when adding a `TelemetrySink` / `MetricKitSink` / `GameCenterSi

Use when setting up or changing CI for an Apple-platform project on Xcode Cloud — choosing Xcode Cloud vs GitHub Actions, splitting PR / Main / Release / scheduled workflows, writing `ci_scripts/ci_post_clone.sh` / `ci_pre_xcodebuild.sh` / `ci_post_xcodebuild.sh`, or wiring `CI_B

Keep a running impl-notes file next to the phase meeting log while a subagent executes a task, recording design decisions, intentional deviations from spec, tradeoffs, and open questions as they happen rather than after the fact. Use at the start of any non-trivial subagent dispa

Route a stray idea that surfaces mid-task to the §Backlog of the right living doc in a spec-phase-orchestration repo (design.md, foundations.md, plan.md, methodology.md, or today's meeting log) as a single line, without derailing the current work. Use when a not-now-but-don't-for

Package Claude Code skills as a plugin plus marketplace and install them into other repos — globally, pinned per project via committed settings, or as a skills-dir plugin. Use when sharing skills across repos, wiring an existing skill plugin into a project, choosing flat project

Drive GitHub contributions through the gh CLI — pull requests, issues, GitHub-side file edits, repo secrets, contribution-flow repo settings, submodule pin bumps. Use when about to run `gh pr create` / `gh pr merge` / `gh pr checks` / `gh issue create` / `gh secret set` / `gh api

Shape the prompt a Leader sends when dispatching a sub-agent (Developer, Designer, Code Reviewer, drafting agent) so the result comes back verifiable and integrable. Use when about to call the Agent tool, writing or reviewing a dispatch prompt, deciding what a sub-agent must read

Extract recurring collaboration patterns from accumulated meeting logs (optionally session JSONL) and record them in docs/methodology.md with evidence of where each was sighted. Use when the user asks to update methodology, extract recurring patterns across the meeting logs, or c

Check that a branch's actual diff matches what its commit messages and any subagent report claim, before the commits leave the machine. Use before `git push` of a feature branch, before `gh pr create` or `gh pr merge`, after a subagent reports "committed N files", after an amend

Consolidate a Claude Code session JSONL log into a summary-only meeting record under meetings/ (decisions, rejected alternatives, hand-offs, open questions). Use when the user asks to turn a session into a meeting log, archive today's discussion, or extract a record from a .jsonl

The Apple/Swift-and-this-catalog layer for authoring or reviewing a SKILL.md, on top of superpowers:writing-skills. Use when writing or CR-ing a skill for this repo, wording a description so it routes precisely, splitting a skill into references/, or choosing granularity and nami

Run the spec-first document phase of a project and gate implementation on it. Use when starting a project that needs a spec before code, deciding which documents the spec phase produces and in what order, choosing whether a section may advance while a prerequisite is unconfirmed,

Use before dispatching a subagent with `isolation:"worktree"`, or while another subagent is in flight, to avoid three dispatch hazards — file-scope overlap with an in-flight subagent, a stale dispatch base, and collisions with another live agent/session editing the same checkout

Structure a multi-round Leader / Developer / Code-Reviewer review of a document or code change. Use when planning how many review rounds to run, dispatching a Code Reviewer subagent and deciding which tools and review criteria it carries, adjudicating a reviewer's BLOCKER / MAJOR

OKF (Open Knowledge Format) — curated catalog of tools, plugins, skills, proposals, and docs for agent-friendly knowledge. YAML-driven, agent-searchable, MCP-re…

Navigate a camp with `cgo` and `camp go`. Use when you need to move between projects/festivals/workflow directories, switch context quickly, or resolve script-safe paths with `camp go --print`.

Manage a camp's projects. Use when committing inside `projects/*`, deciding status/pull/push scope (root vs submodule vs all), or creating/removing project worktrees.

A green PR, a controller reporting success, and not one line of the new code running

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.

Make any song you can imagine

Leading AI-powered video generation platform that specializes in creating hyper-realistic talking avatars

Hermes Agent is an open-source, self-improving autonomous AI agent developed by Nous Research

Kilo Code is a popular, open-source AI coding agent and "agentic engineering" platform designed to help developers build, refactor, and debug software faster

General-purpose agent in one static Go binary. ReAct loop, ACP server for IDEs, OpenAI-compatible REST API with embedded web UI, Telegram gateway, cron schedule…

Autonomous agent framework with structured memory, safety hooks, and loop management. Built by the agent that runs on it.

TSP自托管、零运维的 A 股「选股 + 监控 + 回测」量化工作台 | 基于 TickFlow 数据源 | LLM能力驱使策略定制+个股分析+复盘 | 自由接入第三方数据源与个性化扩展数据 | 个人开源 ,非TickFlow官方项目

Curated, verified Agent Skills powered by ModelStudio.

Run Claude Code, Codex, Antigravity, Cursor Agent and OpenCode as one runtime — persistent sessions, multi-agent councils, an OpenAI-compatible endpoint, an MCP…

pi had nothing (nothing), so I made something (something) — sorry mariozechner-senpai, I went ahead and lovingly soiled your pure pi for you. opinionated fork o…

A persistent workspace for development work that self-improves and continues beyond one session.

Open-source memory and context for user-aware agents: scoped memory, provenance, retrieval quality, correction, boundaries, evals, and MCP/HTTP access.

📚 A zero-dependency, git-backed micro-lesson library for AI Agents to asynchronously share and search verified debugging experience. Python stdlib only. | http…

Deterministic, local-first memory and guardrails for AI coding agents with no LLM in the hot path.

Deterministic spec-orchestration for local LLMs in the pi coding agent — drives prompts through refine→research→grill→compose→critique, with bundled web/docs/fe…

Native Safari browser automation for AI agents. 97 tools via AppleScript — zero overhead, keeps logins, runs silently in background. Drop-in alternative to Chro…

Agent OS: keep specialist agents in a hub, spin up a temporary orchestrator per task. Local-first, works with any model.

Git for agent memory. Branches, diffs, PRs, and rollback for what your agents know.

Multi-Provider AI Gateway - No personal logs by design. Model autodiscovery, Failover groups, High availability, Android companion app, and more - "Because we h…

Production-grade MCP server for MikroTik RouterOS with secure AI-native network automation.