Automatically enhance prompts with composable, categorized decorators (143 across 14 categories - reasoning, structure, tone, verification, minimal, meta, and eight developer categories). Inline `::Name` / `+++Name` syntax, always-on config, and an opt-in Haiku-powered auto-selector using a two-pass (keyword filter + small-model) selector.
7 on GitHubby Daniel Bentesv0.1.1Apache-2.0updated yesterdayprompt-engineering
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Plugin prompt-decorators from marketplace synapti-marketplace in synaptiai/synapti-marketplace. Commands read from the repo's manifest — today.
This plugin runs code on your machine — its hooks fire automatically on events like tool use. The exact commands are listed below; read them before installing.
What it installs
Skills (2)
authoring-decorators
Use when the user wants to write a new prompt decorator - either a personal one for their repo or a contribution back to the upstream catalogue. Walks through the JSON schema, the extensions/ convention, how to verify a new decorator end-to-end through the hook, and how to diagnose failures using de
prompt-decorators-usage
Use when a user's prompt would clearly benefit from a reasoning, structure, tone, or verification decorator - or when they ask "what decorators should I use?". Teaches when and how to suggest inline `::Name(params)` sigils instead of repeating verbose prompt-engineering instructions manually.
Slash commands (1)
/prompt-decorators:decorate
Use to browse the decorator catalogue, preview an expansion, manage the always-on list, or toggle auto-decorate mode.
Skill-driven workflow plugin for GitHub development with excellence-by-default quality gates. Encodes team knowledge as composable skills, enforces safety through hooks, compounds learning across sessions, and provides durable goals, workflows, triggers, and runs at .flow/. Requires bash, git, gh, jq, and python3 with PyYAML; on Windows, Git Bash (see docs/windows-support.md).
Evidence-first project documentation system. Produces an audit-ready 23-file package for technical due diligence, engineering and product onboarding, and partner or customer communication — every material claim traced to a ledger row and a claim state, three context-isolated verification passes, and a binary release gate. Ships a post-merge GitHub Actions job that keeps the package current by opening a documentation PR. Requires bash, git and jq; on Windows, Git Bash (see docs/windows-support.md).
Evidence-based product development with traceable decisions, constrained spec generation, and impact-aware updates. Forces auditability through semantic IDs and quality gates.
Appends two or three short follow-up questions after a substantive answer to help users check key facts, probe the reasoning, and notice missing context
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Web scraping, Google search, structured data extraction, and MCP server integration powered by Bright Data. Includes 7 skills: scrape any webpage as markdown (with bot detection/CAPTCHA bypass), search Google with structured JSON results, extract data from 40+ websites (Amazon, LinkedIn, Instagram, TikTok, YouTube, and more), orchestrate Bright Data's 60+ MCP tools, built-in best practices for Web Unlocker, SERP API, Web Scraper API, and Browser API, Python SDK best practices for the brightda...
Independent auditing for AI agents, open source. Claude discovers your setup, confirms the cost, and audits your agent against the one question other tools skip: is it doing the job it's supposed to do, given your business rules and org structure? Test any model (Anthropic, OpenAI, Gemini, Azure, Bedrock, …) graded by self, one independent judge, or a cross-vendor panel; each provider is billed to its own account via a key in your settings, never the command line. Results render as an interactive artifact (with a static-report fallback).
1 skill · hooks
ifixai-ai/iFixAi 45,158
Maintain prompt-decorators?
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