AI & ML

boisenoise Skill

Automate ConvertKit (Kit) tasks via Rube MCP (Composio): manage subscribers, tags, broadcasts, and broadcast stats. Always search tools first for current schemas.

boisenoise Skill

Automate Salesforce tasks via Rube MCP (Composio): leads, contacts, accounts, opportunities, SOQL queries. Always search tools first for current schemas.

boisenoise Bundle

Use when coordinating story quality evaluation with mandatory research, worker summaries, agent review, regression evidence, and bounded refinement.

boisenoise Skill

Automate Freshservice ITSM tasks via Rube MCP (Composio): create/update tickets, bulk operations, service requests, and outbound emails. Always search tools first for current schemas.

boisenoise Skill

Automate Google Drive file operations (upload, download, search, share, organize) via Rube MCP (Composio). Upload/download files, manage folders, share with permissions, and search across drives programmatically.

boisenoise Skill

Automate Google Sheets operations (read, write, format, filter, manage spreadsheets) via Rube MCP (Composio). Read/write data, manage tabs, apply formatting, and search rows programmatically.

boisenoise Bundle

Worker that checks DRY/KISS/YAGNI/architecture compliance with quantitative Code Quality Score. Validates architectural decisions via MCP Ref: (1) Optimality - is chosen approach the best? (2) Compliance - does it follow best practices? (3) Performance - algorithms, configs, bottlenecks. Reports issues with SEC-, PERF-, MNT-, ARCH-, BP-, OPT- prefixes.

boisenoise Bundle

Installs agents, configures MCP servers, aligns marketplace plugins, creates and audits instructions. Use after setup or when agents/MCP/plugins need alignment.

boisenoise Bundle

Use when validating Stories, plans, or tasks through the evaluation platform with mandatory research, parallel evidence lanes, sequential merge, and bounded refinement. Modes: story | plan_review.

boisenoise Skill

Automate ActiveCampaign tasks via Rube MCP (Composio): manage contacts, tags, list subscriptions, automation enrollment, and tasks. Always search tools first for current schemas.

boisenoise Skill

Automate Google Calendar events, scheduling, availability checks, and attendee management via Rube MCP (Composio). Create events, find free slots, manage attendees, and list calendars programmatically.

boisenoise Skill

Automate Microsoft Teams tasks via Rube MCP (Composio): send messages, manage channels, create meetings, handle chats, and search messages. Always search tools first for current schemas.

boisenoise Skill

Automate Outlook Calendar tasks via Rube MCP (Composio): create events, manage attendees, find meeting times, and handle invitations. Always search tools first for current schemas.

boisenoise Bundle

Multi-agent context review: delegates plans, decisions, documents, architecture proposals to external agents (Codex + Gemini) for independent review with debate protocol. Works in Plan Mode.

boisenoise Bundle

Use when validating optimization plans through the evaluation platform with mandatory research, parallel agent evidence, sequential merge, and bounded refinement.

cshara1 Skill

Give an AI agent a permanent network address, encrypted P2P messaging, and an installable app store via Pilot Protocol

cshara1 Skill

X/Twitter automation skill for tweet search, follower export, posting, DMs, webhooks, MCP, SDKs, Hermes Tweet, and TweetClaw.

agricidaniel Bundle

Ultimate AI-powered cybersecurity code review skill. Performs comprehensive security audit across 8 dimensions: vulnerability detection (OWASP Top 10:2021, CWE Top 25:2024), secret scanning, dependency/supply chain analysis, IaC security, threat intelligence (malware/backdoor/C2 detection, MITRE ATT&CK mapping), authorization verification, AI-generated code audit, and compliance mapping. Spawns 8 parallel specialist agents with weighted scoring (0-100). Framework-aware false-positive suppression. STRIDE threat modeling. Complements GitHub Advanced Security. Use when user says "security audit", "security review", "cybersecurity", "check for vulnerabilities", "OWASP check", "secure this code", "find security issues", "pentest review", "threat model", "security scan", "check security", "vulnerability scan", "code security", "appsec review", "supply chain check", "secret scan", "hardcoded credentials".

dfshmily Bundle

Agent Communication Skill

6tizer Bundle

Axon Agent Skill

quantulabs Bundle

8004-MCP - Agent Registry Protocol

trade-agent Bundle

Trade It MCP Skill

notestone Bundle

Model Manager Skill

thesupercolony Bundle

SuperColony Skill — Agent Integration Guide

thesupercolony-supercolony-mcp Skill

SuperColony Skill — Agent Integration Guide

bhoshaga Bundle

MoltAuth - Universal Agent Auth, Secure, Open Source

benborla Skill

Query MySQL databases from Codex via MCP

devame Skill

Use the Datalevin semantic graph to build focused code context.

shelbyrose5477 Skill

Run a transparent, ethical, zero-ad-budget experiment to find and sell a small digital offer within 24 hours. Use when an agent needs to choose an offer, validate demand, create a minimum viable deliverable, publish it, distribute it without spam, and maintain a truthful revenue ledger.

0xnyk Bundle

Defensive agent supply-chain security for repositories that AI agents and automations touch. Use before making a repo public or pushing to one, when reviewing a cloned starter template or third-party skill/package, or when an agent has GitHub credentials that can delete/rename/transfer/archive repos. Ships two battle-tested defenses: (1) scan-repo — a deterministic, network-free leak + dropper gate that blocks secrets, obfuscated code-execution droppers, invisible-unicode, and private-context leaks from entering a public repo; and (2) repo-guard — a PATH shim + Claude Code hook that hard-blocks destructive GitHub repo-lifecycle operations unless a human confirms the exact repo. Also ships scan-content — a KNOWN-pattern tripwire for untrusted fetched content (web/search/tool/MCP output) — paired with a behavioral contract for handling untrusted content, because prompt injection is unsolved and detection alone cannot prevent it. Plus vet-incoming — an inbound supply-chain gate that vets a third-party template/p

0xnyk Bundle

Preview images, video, PDFs, code files, diffs, and tweets from inside an agent CLI that cannot render them. Use when the user asks to see, view, preview, show, or look at a file — screenshots, generated images, charts, mockups, video clips, PDFs, or a code diff — or says "show me", "let me see it", "preview that", "what does it look like". Also use after generating or downloading an image/video/PDF so the user can actually see the result. Works in Claude Code, Codex, Hermes, Gemini CLI, and any terminal agent.

0-ai-ug Skill

Reference for the `zero` CLI and SDK — the agent's toolkit for web search/fetch, browser control, image generation, scheduled/event/script tasks, credentials, apps, notifications, email, LLM calls, embeddings, and vector search. Use this skill whenever you need to reach outside the project sandbox (network, browser, mailbox, scheduling) or inspect available CLI/SDK shapes before writing a bun script. `zero <group> --help` is authoritative; this is the overview.

001tmf Bundle

Retrieve reproducible, complete, verifiable records from 26 public biomedical sources (PDB, UniProt, NCBI Protein/Virus/Datasets, ClinVar, Ensembl, gnomAD, PubChem, AlphaFold, ClinicalTrials, openFDA, Open Targets, Reactome, GTEx, GWAS Catalog, and more — run `catalog` for the full list) via Pinakes — the same 8 verbs over an MCP server (pinakes_<verb> tools) or the identical pinakes CLI. Use when an agent must pull biomedical data that has to be reproducible, deterministic, byte-identical, complete-or-fail, or independently verifiable; when a record count, cited fact, or dataset must carry provenance a reviewer can re-derive offline; when pinning a content-addressed snapshot; reading a manifest's completeness or reproducible flag; verifying before citing; or self-correcting a rejected filter. Teaches the judgement the tool schemas do not: pin-or-no-determinism, complete vs best_effort, and verify-before-cite.

0x0funky Skill

Inspect this machine's live resource usage via the Agentinel CLI — find runaway / zombie / leaking AI-agent processes (Claude Code, Codex, Gemini, OpenCode, MCP & dev servers, Ollama…), duplicate sessions, heavy memory users, and reclaimable disk caches. Use when the user asks what's eating RAM/CPU/disk, whether they have forgotten or leaking agent sessions, which agents are still running, or wants a cleanup recommendation. Read-only — it never kills or deletes.

0x0funky Bundle

Prevents prompt-cache thrash and runaway token burn in long or image-heavy agent sessions. Load BEFORE reading images/screenshots (visual QA, render checks, UI verification, diagram review) in a conversation that already has substantial history, when running long agentic loops with periodic wake-ups, or when the user asks why token usage / rate limits burn unusually fast. Teaches batched image reads, delegating vision work to isolated-context subagents, write-once notes instead of re-reading, and keeping large tool outputs out of context. Includes an audit script to measure a session's cache write/read ratio.

199-biotechnologies Bundle

Package files + structured prompts for manual copy-paste into GPT-5.4 Pro for deep reasoning review. Use when user says 'send to GPT Pro', 'GPT Pro review', 'ChatGPT Pro review', 'prepare for GPT', 'package for GPT Pro', 'get GPT to review', 'GPT Pro analysis', 'upload to ChatGPT', 'gpt-pro', '/gpt-pro', 'pack for GPT', 'bundle for ChatGPT', 'have ChatGPT check this', 'send this to GPT', 'GPT deep review'. Creates structured prompt + file bundle as tar.gz in ~/Documents/GPT Pro Analysis/ and copies prompt to clipboard for manual paste into ChatGPT Pro.