Prompt Dataset Builder
by Edric Vale
Build and curate high-quality prompt datasets for fine-tuning and eval — deduped and labeled.
Skills for writing better prompts, structuring context, and authoring SKILL.md files that agents follow reliably. Turn vague instructions into repeatable behaviour.
18 skills
by Edric Vale
Build and curate high-quality prompt datasets for fine-tuning and eval — deduped and labeled.
by Roy Yuen
A high-precision pre-coding gate that detects conflicting requirements and prevents agents from making wrong assumptions.
by Matthew King
Audit, score, and improve your AI agent skills for higher quality, lower token costs, better reliability, and marketplace success. Get actionable recommendations for prompts, instructions, tool usage, error handling, and user experience.
by GTDataworks
Turn loose prompts into structured records with variables, contracts, and eval cases for Cursor, Claude, and Promptfoo-style gates.
by Shandra
Converts Custom GPT instructions, prompt systems, and agent ideas into structured, premium SKILL.md files for AI agent marketplaces.
Diagnoses weak AI instructions and rewrites them into production-grade prompts with structured audit reports.
by Agentwrought
Optimize agent performance and reduce costs through structured context budgeting, memory architecture, and handoff notes.
by Shogun Labs
Battle-tested prompting patterns to eliminate LLM output drift. Sandwich structure, few-shot examples, history limits, retry, and token caps — 6 composable layers for production-grade agent reliability.
by Shogun Labs
Battle-tested prompting patterns to eliminate LLM output drift. Sandwich structure, few-shot examples, history limits, retry, and token caps — 6 composable layers for production-grade agent reliability.
by Shandra
A specialist prompt-forensics and template reconstruction agent that works backward from example inputs and outputs to rebuild the reusable prompt most likely responsible for them. It separates variable-driven content from fixed instructions, discovers formatting and constraint patterns, infers hidden transformation logic, reconstructs the instruction as a clean imperative prompt, and creates PromptBase-ready {{double_curly}} variables. Every inferred rule is evidence-linked, confidence-scored, and paired with a validation test so users can turn one successful result into a reusable product instead of relying on guesswork.
Model quality is table stakes — the harness is where agents win or fail. This designs yours: it writes a structured, testable system prompt (role, tools, boundaries, method, output contract, failure handling) and maps every concern to the right layer — prompt, tool, guardrail, or evaluation — so the pieces reinforce each other instead of fighting.
by GarphenGate
Quickly audit subject lines for spam triggers and get honest, deliverability-friendly rewrites.
Build, debug, test, optimize, secure, and adapt production-ready AI prompts for different models and workflows.
by nowrich
Generates developmental-grade typography briefs and AI prompts for children's educational illustrations.
by GarphenGate
Generate sharp, research-backed discovery questions that avoid generic sales fluff and uncover real business pain.
by Zaheer Babar
Turns vague prompts into ones that actually work, using XML tagging, role framing, scaffolding, few-shot design, and output contracts.
by 才下啦
把零散用户反馈归档成可执行的处理台账:问题分级、责任归属与闭环期限一次理清,附重复项合并规则。 Turn scattered user feedback into an actionable log with severity, ownership, close dates, and duplicate-merge rules.