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SkillsMP hat 2.530 Skills aus ranbot-ai/awesome-skills gesammelt. Öffne einen Skill, um Quelle und Details zu prüfen.
Es werden 40 von 2.530 gesammelten Skills angezeigt.
Generate project-specific AGENTS.md and companion rules by analyzing a codebase. Supports full, minimal, update, and dry-run modes with package-manager detection, monorepos, backups, managed blocks, c
Quellsprache: Englisch
Run protected AAS maintainer sweeps, PR merge batches, canonical sync, Core preview checks, and scripted releases. Use for repository maintenance, main alignment, CLI/MCP/Workbench changes, or release
Quellsprache: Englisch
Provision backend infra through Cohesivity (cohesivity.ai): Postgres, hosting, auth, storage, and AI model APIs over one HTTP API. Use when a .cohesivity file exists or a project needs a backend.
Quellsprache: Englisch
Generate and edit images/video with Google's Gemini media models (Nano Banana 2/Pro, Gemini Omni Flash), with cost-approval gates, reference-image support, and a prompt/output log per call.
Quellsprache: Englisch
Upload and download GitHub user-attachments (screenshots, PDFs, zips, videos) from the terminal; use when asked to attach or embed a file in a PR, issue, or comment, or download an attachment URL.
Quellsprache: Englisch
Use an already-installed, independently verified cowork-to-code bridge to run narrowly approved actions on the user's own macOS, Linux, or WSL2 machine through a local file queue.
Quellsprache: Englisch
Compare claims from one or more AI answers, verify their citations against public primary sources, and produce an evidence-linked fact-check report without installing a bundled browser runtime.
Quellsprache: Englisch
Use when an owner explicitly asks for a cofounder or project partner, or explicitly says they need a complementary builder, operator, go-to-market partner, or scaling capability. Assess and publish on
Quellsprache: Englisch
Provide comprehensive techniques for attacking Microsoft Active Directory environments. Covers reconnaissance, credential harvesting, Kerberos attacks, lateral movement, privilege escalation, and doma
Quellsprache: Englisch
A hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions).
Quellsprache: Englisch
6 production-ready AI engineering workflows: prompt evaluation (8-dimension scoring), context budget planning, RAG pipeline design, agent security audit (65-point checklist), eval harness building, an
Quellsprache: Englisch
AUTHORIZED USE ONLY: This skill contains dual-use security techniques. Before proceeding with any bypass or analysis: > 1.
Quellsprache: Englisch
Provide comprehensive techniques for testing REST, SOAP, and GraphQL APIs during bug bounty hunting and penetration testing engagements. Covers vulnerability discovery, authentication bypass, IDOR exp
Quellsprache: Englisch
Build comprehensive attack trees to visualize threat paths. Use when mapping attack scenarios, identifying defense gaps, or communicating security risks to stakeholders.
Quellsprache: Englisch
Provide comprehensive techniques for penetration testing AWS cloud environments. Covers IAM enumeration, privilege escalation, SSRF to metadata endpoint, S3 bucket exploitation, Lambda code extraction
Quellsprache: Englisch
Turn a one-line objective into a step-by-step construction plan any coding agent can execute cold. Each step has a self-contained context brief — a fresh agent in a new session can pick up any step
Quellsprache: Englisch
Identify and exploit authentication and session management vulnerabilities in web applications. Broken authentication consistently ranks in the OWASP Top 10 and can lead to account takeover, identity
Quellsprache: Englisch
Execute comprehensive web application security testing using Burp Suite's integrated toolset, including HTTP traffic interception and modification, request analysis and replay, automated vulnerability
Quellsprache: Englisch
Conduct comprehensive security assessments of cloud infrastructure across Microsoft Azure, Amazon Web Services (AWS), and Google Cloud Platform (GCP).
Quellsprache: Englisch
Audit authorized codebases for exploitable vulnerabilities using scoped reconnaissance, adversarial review, validation, and structured reporting.
Quellsprache: Englisch
Master the complete penetration testing lifecycle from reconnaissance through reporting. This skill covers the five stages of ethical hacking methodology, essential tools, attack techniques, and profe
Quellsprache: Englisch
Expert guidance for ffuf web fuzzing during penetration testing, including authenticated fuzzing with raw requests, auto-calibration, and result analysis
Quellsprache: Englisch
Identify and exploit file path traversal (directory traversal) vulnerabilities that allow attackers to read arbitrary files on the server, potentially including sensitive configuration files, credenti
Quellsprache: Englisch
Expert firmware analyst specializing in embedded systems, IoT security, and hardware reverse engineering.
Quellsprache: Englisch
Identify and exploit HTML injection vulnerabilities that allow attackers to inject malicious HTML content into web applications. This vulnerability enables attackers to modify page appearance, create
Quellsprache: Englisch
Provide systematic methodologies for identifying and exploiting Insecure Direct Object Reference (IDOR) vulnerabilities in web applications.
Quellsprache: Englisch
Use BrowserAct for authenticated browser automation, JS-rendered extraction, screenshots, parallel sessions, verification handling, and human handoff.
Quellsprache: Englisch
AI-driven data extraction from 55+ Actors across all major platforms. This skill automatically selects the best Actor for your task.
Quellsprache: Englisch
Methodical performance troubleshooting and root-cause analysis with Brendan Gregg's USE and TSA methods, plus evidence-backed RCA and postmortem reports.
Quellsprache: Englisch
Install, configure, verify, repair, update, and uninstall Hyprland on Fedora Linux with GPU-aware detection (NVIDIA/AMD/Intel).
Quellsprache: Englisch
Reference for the Claude API / Anthropic SDK — model ids, pricing, params, streaming, tool use, MCP, agents, caching, token counting, model migration. TRIGGER — read BEFORE opening the target file
Quellsprache: Englisch
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
Quellsprache: Englisch
Use when you have a written implementation plan to execute in a separate session with review checkpoints
Quellsprache: Englisch
Use when implementation is complete, all tests pass, and you need to decide how to integrate the work
Quellsprache: Englisch
Use when completing tasks, implementing major features, or before merging to verify work meets requirements
Quellsprache: Englisch
Use when executing implementation plans with independent tasks in the current session
Quellsprache: Englisch
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes
Quellsprache: Englisch
Use when implementing any feature or bugfix, before writing implementation code
Quellsprache: Englisch
Use when about to claim work is complete, fixed, or passing, before committing or creating PRs - requires running verification commands and confirming output before making any success claims; evidence
Quellsprache: Englisch
Use when creating new skills, editing existing skills, or verifying skills work before deployment
Quellsprache: Englisch