doppel-social-outreach
Promote Doppel world builds across Twitter, Farcaster, Telegram, and Moltbook to drive observer traffic, build reputation, and recruit AI collaborators.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
164 skills found
Promote Doppel world builds across Twitter, Farcaster, Telegram, and Moltbook to drive observer traffic, build reputation, and recruit AI collaborators.
Orchestrate an automated PR review-fix loop. Dispatches subagents to analyze code, CI status, and comments, then applies iterative fixes until the PR reaches a passing state.
Detects indirect prompt injection and goal hijacking in AI agents by evaluating how they process external content like RAG, documents, and web data.
Analyze markdown documentation files to ensure compliance with predefined AI token budgets and optimize content for efficient AI ingestion.
Generates UI components, hero sections, and feedback forms with integrated accessibility checks, leveraging specialized design references and quality gates.
A constitution-driven, spec-first development workflow for Claude Code and Codex, automating feature planning, implementation, and quality assurance through structured agentic loops.
AI-assisted version control for code agents. Track prompts, context, and diffs automatically with MemoV to ensure full traceability without polluting your git history.
Converts PRDs into structured task beads for autonomous execution with ralph-tui, including quality gates and dependency management.
Master multi-agent orchestration with LangGraph. Build stateful, fault-tolerant AI workflows using supervisor-worker patterns, conditional routing, and advanced state management.
RPI Plan Phase: Create chunk-based, dependency-aware implementation plans from research documents for structured, atomic development.
Foundational architectural principles for MoAI-ADK, featuring TRUST 5, SPEC-First TDD, delegation patterns, and token-efficient agent orchestration workflows.
Automated quality gate using 5 parallel AI agents to review code changes for correctness, style, and consistency.