Techniques to improve reliability
When GPT-3 fails on a task, what should you do?
Stop guessing. Use a tight standard for skills that are clear, testable, and valuable in under 60 seconds.
The [`gpt-oss` models](https://openai.com/open-models) were trained on the harmony response format for defining conversation structures, generating reasoning output and structuring function calls. If you are not using `gpt-oss` directly but through an API or a provider like Ollama, you will not have
ROOST and OpenAI have prepared a guide that explains how to write policy prompts that maximize [gpt-oss-safeguard's](https://github.com/openai/gpt-oss-safeguard) reasoning power, choose the right policy length for deep analysis, and integrate oss-safeguard's reasoning outputs into production Trust &
When GPT-3 fails on a task, what should you do?
[](https://skills.sh/anthropics/skills)
> [!NOTE]
This directory contains the documentation source code for LlamaIndex, available at https://docs.llamaindex.ai.
Built for clarity
KISS content standard
Always expanding
Crawler + community
Skill formats
Tight instructions that lock in tone, scope, and output shape.
Concrete actions, APIs, and schemas that your agent can call.
Stepwise playbooks with decisions, checkpoints, and outputs.
Settings and system prompts for reliable, repeatable behavior.
When GPT-3 fails on a task, what should you do?
ROOST and OpenAI have prepared a guide that explains how to write policy prompts that maximize [gpt-oss-safeguard's](https://github.com/openai/gpt-oss-safeguard) reasoning power, choose the right policy length for deep analysis, and integrate oss-safeguard's reasoning outputs into production Trust &
The [`gpt-oss` models](https://openai.com/open-models) were trained on the harmony response format for defining conversation structures, generating reasoning output and structuring function calls. If you are not using `gpt-oss` directly but through an API or a provider like Ollama, you will not have
> [!NOTE]
[](https://skills.sh/anthropics/skills)
This directory contains the documentation source code for LlamaIndex, available at https://docs.llamaindex.ai.
Ultracite Rules - AI-Ready Formatter and Linter
JSON 字段:
LLM 摘要默认使用 `prompts/summary.zh.md`。可以在 `config.toml` 的 `[llm]`
Validate and debug the AI provider configuration for this repo. Use when the app fails to start due to a missing API key, wrong provider name, connection error to an LLM endpoint, or when switching between providers (openai, openrouter, ollama).
Analyze, diagnose, and improve Pydantic AI system prompts and user prompts in this repo. Use when asked to improve output quality, fix inconsistent campaign generation, tune prompt wording, or reduce hallucinations and field truncation issues.
Debug WeasyPrint PDF generation issues in this repo. Use when asked to fix, investigate, or preview the PDF output, Jinja2 template rendering, or WeasyPrint errors such as missing fonts or native library errors (libpango, libcairo, libgdk-pixbuf).
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Keep it simple, prove it fast, and build a library that compounds.