Drive the user's real, logged-in browser from the shell via the reins CLI. Because it's their actual browser, every site is already authenticated — so you can scrape behind logins, read cookies/tokens/localStorage, watch and replay live API traffic, call a site's own API as the signed-in user, and…
Run Codex CLI, Claude Code, or another supported external agent as a supervised asynchronous worker with strict OpenClaw routing, progress notifications, result delivery, session resume, optional provider fallback, and multi-turn supervisor ownership. Always use whenever the user asks to call, run, invoke, use, ask…
Stonewright Elementor V3 builder for native-first implementation from Figma, screenshots, images, or briefs, plus pages, widgets, Loop Grid, templates, kit styles, responsive edits, and safe batch mutations. Use whenever a task reads, plans, builds, or repairs an Elementor V3 page or template.
Persistent long-term memory via memini. Use to remember durable facts, decisions, and preferences, and to recall relevant context before acting. Triggers when the user says "remember", "what do you know about", or when starting a task that may have prior context.
Use when user asks to leverage claude or claude code to do something (e.g. implement a feature design or review codes, etc). Provides non-interactive automation mode for hands-off task execution without approval prompts.
Use whenever you need to send anything to the user from a supermux session — establishes that all user-facing words go through the supermux reply tool, and the per-channel rules (Telegram vs web).
Repo-local Sage eval-gauge / hill-climbing Phase-0 toolkit. Use when an operator, Claude Code, or Codex needs to measure Sage capability with a GROUND-TRUTHED gauge (not substring eval scores), run the Gate Experiment (does the eval track reality?), compare bare-model vs harness, get the noise floor /…
Use when you need multi-model orchestration: decompose a high-level objective into subtasks, route each to a specialized model, run in parallel, synthesize, then verify.
A review framework for deciding whether an engineering idea or technical commitment is necessary, too broad, or premature. It examines the real problem, complexity, evidence, non-goals, and ease of reversal.
This skill should be used when the user asks to "write in Simplified Technical English", "rewrite this in STE", "check STE compliance", "apply ASD-STE100", "simplify this technical documentation", "make this manual STE-compliant", mentions ASD-STE100, STE, controlled language, or wants technical procedures…
Inspect a codebase, a stack the user describes, or a description of what they want to build; map what is there to agents-inc catalog skills — or intent to candidate built-in stacks the user picks from — and emit a SeedPayload plus a human-readable proposal report. Use when seeding a configuration for a project that…
Author a HyperFrames slideshow composition — a presentation, pitch deck, or interactive deck with discrete slides, fragment reveals, branching sequences, and hotspot navigation. Use as an intent check when the user asks for a presentation, pitch deck, slide deck, interactive deck, or page-to-deck conversion that might…
Transcribe inbound voice notes and audio messages to text before the chat engine processes them, so the agent can answer spoken messages. Use when a chat channel delivers an audio/voice attachment, or when the user asks the bot to handle voice notes.
Hmem write protocol — picks prefix (L/E/D/P/N/R/I/H…), tree location, and tags, and detects duplicates before persisting. Use before any writememory or appendmemory call (skipping it creates duplicates and misplaced entries), or when the user says 'remember this', 'save this', 'log this', or invokes /hmem-write.
Coordinate full or multi-stage AuditHub OrCa fuzzing campaigns for Solidity projects. Use when a user asks to run an autonomous OrCa campaign, plan and execute setup/tuning/spec/long-run loops, resume an OrCa campaign, or coordinate target selection, deployment setup, smoke runs, callmetrics.json analysis, tuning, [V]…
Generate a runnable Python project from an Agent Build Spec. Turns architecture documents into working code with a controller loop, tool stubs, session state, permission checks, and observability.
Designs stable API, interface, schema, event, CLI, module, and service contracts before implementation so callers, consumers, and future agents can depend on them safely. Use when creating or changing public/internal APIs, SDK surfaces, webhooks, GraphQL/REST/RPC routes, database or message contracts, module…
Turns concrete tasks from seven fixed public sources into a one-off or daily feed of interesting complete-task Agent ideas. Use when the user wants Agent ideas from Upwork-style marketplaces or chinese-independent-developer, especially when every source must contribute three concise, unseen ideas without validation or…
The missing feedback loop for agentic development. Builds a living user model from AI coding session transcripts — extracts who the user is, what the AI keeps getting wrong, and what rules would prevent those mistakes. Writes the result to the memory system so every new session starts informed.
★not rated 23 5mo agoA161 tokens
originalMIT
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