prompt-engineering plugins

by Jeremy Longshore

Professional AI/ML Engineering toolkit: Prompt engineering, LLM integration, RAG systems, AI safety with 12 expert plugins

by Jeremy Longshore

Professional AI/ML Engineering toolkit: Prompt engineering, LLM integration, RAG systems, AI safety with 12 expert plugins

by Jeremy Longshore

Professional AI/ML Engineering toolkit: Prompt engineering, LLM integration, RAG systems, AI safety with 12 expert plugins

by happy520ai

Connect Codex to a self-hosted AI gateway with provider-free prompt enhancement and twelve governed MCP tools.

by adityaraj0421

A virtual design team for Claude Code, Cursor, Windsurf, Gemini CLI, and Copilot — powered by Naksha. Assembles specialist roles — UI designer, UX researcher, content designer, Figma expert, data viz, email, social, motion, presentation, brand strategy, illustration, video, conversational, spatial, compliance, and more — for any design task. 26 roles, 63 commands, 15,000+ lines of expert design knowledge. Your agency's design brain, inside your terminal.

by Egor Fedorov

Claude 5-aware context optimization (Fable 5.1 / Opus 5 / Sonnet 5 pricing, 1h-cache-aware real costs & cache-break detection), SKILL.state-style task state that survives /compact, session baseline audit (/cco-overhead), auto .contextignore, self-calibrating estimates, delegation advisor, ru/en prompt coach, per-language token estimation, tunable thresholds via /cco-config, self-learning tool costs, team pattern sharing

Prompt engineering techniques for accurate, grounded Claude responses — anti-hallucination workflow with citation-backed analysis

by valcraft contributors

Valcraft is a software factory in your repository: it coordinates the work, keeps the requirements and decisions in ordinary files, and checks the code before shipping so you can see what was built and how it was verified. Skills: tune (repository configuration), cast (project framing), spec (feature and quick contracts), draft (task plans with MSW), forge (reviewed-task implementation and authorized task PRs), review (report-only plan, code, and evidence review), land (authorized finalization and tracker closure), foreman (named-state delivery coordination), temper (local retrospective production), hone (prompt refinement), distill (prompt distillation), and msw (MSW Kernel document judgment).

by Surah Li

Iteratively improve any skill using eval-grounded autoresearch and Hamel's Three Gulfs methodology.

by Matt Corbett

Claude app-engineering specialist team — agents (claude-solution-architect, prompt-and-context-engineer, mcp-and-server-tools-engineer, agent-sdk-engineer, eval-engineer, claude-app-ops-engineer) for building production applications on the Claude API, the Claude Agent SDK, and MCP. Covers the build-surface decision (Messages API / Agent SDK / Managed Agents), model right-sizing (Opus 4.8 / Sonnet 4.6 / Haiku 4.5, 1M context), prompt caching, tool use + structured output, MCP server authoring + Anthropic-hosted server tools (computer use, code execution, Files API, memory), evals (golden sets, LLM-as-judge), and FinOps + reliability (batch, model routing, backoff, observability). dated-and-cited knowledge bank, templates, an advisory hook (house opinions). Seams: prompt-as-artifact, security, and cross-domain architecture escalate to ravenclaude-core. Requires ravenclaude-core@>=0.7.0.

by Matt Corbett

Prompt & context engineering team — agents (prompt-architect, prompt-implementation-engineer, prompt-reliability-engineer) that own the layer between the model and the app: prompt & context strategy (task decomposition, pattern selection across few-shot / CoT / decomposition / role, system-vs-user structure), the output-format contract (JSON mode, tool/function-calling schemas, few-shot curation, token budgeting), and prompt reliability (eval sets & regression, prompt versioning/CI, prompt-injection & jailbreak defense at the prompt layer). Provider-neutral. skills, a knowledge bank with Mermaid decision trees + a dated 2026 reference, best-practices, templates. Seams: which model → ai-coding-model-guidance / claude-api; retrieval → ai-rag-engineering; eval at scale → llm-evaluation-engineering; adversarial testing → ai-red-teaming; the app → claude-app-engineering / backend-engineering. Requires ravenclaude-core@>=0.7.0.

by Open Agent Tools

Scope a vague task through one-question-at-a-time interview into a ready-to-use prompt: what, why, constraints, done

by nuttaruj

Coordinated software-house team for AI coding CLIs — 15 specialist agents, Core 10 phase skills (1 router + 9 phase), 6-phase lifecycle. Pre-commit gates (S1-S5 simplicity / T1-T6 testing / F1-F5 failure-mode) catch bugs before ship. On Claude Code, ships as a pure marketplace plugin (agents / skills / commands / hooks) — the always-on judgment core is delivered by a SessionStart hook, so install and uninstall touch no global config. See https://github.com/nuttaruj/rolepod.

by nuttaruj

Coordinated software-house team for AI coding CLIs — 15 specialist agents, Core 10 phase skills (1 router + 9 phase), 6-phase lifecycle. Pre-commit gates (S1-S5 simplicity / T1-T6 testing / F1-F5 failure-mode) catch bugs before ship. On Claude Code, ships as a pure marketplace plugin (agents / skills / commands / hooks) — the always-on judgment core is delivered by a SessionStart hook, so install and uninstall touch no global config. See https://github.com/nuttaruj/rolepod.

by Paulo Soares

Simplified AI-assisted feature development — PWDEVIA 7-question action plans created inline (interviewing you, max 2 rounds), executed by a real executor subagent with fresh context and IMPLEMENT/REPORT modes, an advisor subagent (strong model) for hard mid-task decisions, read-only consumption of pwdev-code's curated project memory when present, deterministic SQLite audit via hooks. Fast, practical, no ceremony.

by Hermes Labs

On-demand static analysis of AI system prompts: audit a prompt file for contradictions, coverage gaps, priority ambiguities and meta-paradoxes, locally and offline.

by Nery Samuel Murillo

Prompt Architect turns rough intent into copy-ready prompts with risk, evidence, authority, output, verification, and execution-topology controls.

by Anselm Hahn

Staged reasoning-composition techniques from prompt-engineering theory for complex, ambiguous, or multi-faceted tasks: a Clarify -> Explore -> Decompose -> Execute -> Revise pipeline with code-enforced guarantees.

by Carlos Araujo

Prompt Engineering, engenharia e auditoria de evals agenticos LangSmith-first: prompts, datasets, evaluators, experiments, backtests e gates de promocao.

by Carlos Araujo

Entrevista curta para projetar um agente prompt-only e entrega um system prompt pronto para copiar e colar.