10-of-my-most-popular-text-to-image-series-prompts-78b0897e
generate a bunch of images, then you curate the results to handpick the best ones
Run AIMLAPI LLM and reasoning workflows through chat completions with retries, structured outputs, and explicit User-Agent headers. Use when Codex needs scripted prompting/reasoning calls against AIMLAPI models.
Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.
SkillHub CLI
skillhub install aimlapihello/aiml-llm-reasoningInspect the source and compatibility requirements, then follow its installation steps.
Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.
Use run_chat.py to call AIMLAPI chat completions with retries, optional API key file fallback, and a User-Agent header on every request.
export AIMLAPI_API_KEY="sk-aimlapi-..."
python3 {baseDir}/scripts/run_chat.py --model aimlapi/openai/gpt-5-nano-2025-08-07 --user "Summarize this in 3 bullets."
python3 {baseDir}/scripts/run_chat.py \
--model aimlapi/openai/gpt-5-nano-2025-08-07 \
--system "You are a concise assistant." \
--user "Draft a project kickoff checklist." \
--user-agent "openclaw-custom/1.0"
python3 {baseDir}/scripts/run_chat.py \
--model aimlapi/openai/gpt-5-nano-2025-08-07 \
--user "Plan a 5-step rollout for a new chatbot feature." \
--extra-json '{"reasoning": {"effort": "medium"}, "temperature": 0.3}'
python3 {baseDir}/scripts/run_chat.py \
--model aimlapi/openai/gpt-5-nano-2025-08-07 \
--user "Return a JSON array of 3 project risks with mitigation." \
--extra-json '{"response_format": {"type": "json_object"}}' \
--output ./out/risks.json
references/aimlapi-llm.md: payload and troubleshooting notes.README.md: changelog-style summary of new instructions.These signals come from indexed source analysis and may lag behind changes. Check the current source files.
This skill provides a helper script for AIMLAPI chat + reasoning workflows.
AIMLAPI_API_KEY environment variable.--apikey-file flag; ensure the provided path is correct and secure.--extra-json, as this payload is sent to the remote API.User-Agent header (configurable via --user-agent).run_chat.py supports retries, API key from --apikey-file, and verbose logs.--extra-json for reasoning/tooling/provider-specific fields.See SKILL.md for examples.
# AIMLAPI LLM + Reasoning
## Overview
Use `run_chat.py` to call AIMLAPI chat completions with retries, optional API key file fallback, and a `User-Agent` header on every request.
## Quick start
```bash
export AIMLAPI_API_KEY="sk-aimlapi-..."
python3 {baseDir}/scripts/run_chat.py --model aimlapi/openai/gpt-5-nano-2025-08-07 --user "Summarize this in 3 bullets."
```
## Tasks
### Run a basic chat completion
```bash
python3 {baseDir}/scripts/run_chat.py \
--model aimlapi/openai/gpt-5-nano-2025-08-07 \
--system "You are a concise assistant." \
--user "Draft a project kickoff checklist." \
--user-agent "openclaw-custom/1.0"
```
### Add reasoning parameters
```bash
python3 {baseDir}/scripts/run_chat.py \
--model aimlapi/openai/gpt-5-nano-2025-08-07 \
--user "Plan a 5-step rollout for a new chatbot feature." \
--extra-json '{"reasoning": {"effort": "medium"}, "temperature": 0.3}'
```
### Structured JSON output
```bash
python3 {baseDir}/scripts/run_chat.py \
--model aimlapi/openai/gpt-5-nano-2025-08-07 \
--user "Return a JSON array of 3 project risks with mitigation." \
--extra-json '{"response_format": {"type": "json_object"}}' \
--output ./out/risks.json
```
## References
- `references/aimlapi-llm.md`: payload and troubleshooting notes.
- `README.md`: changelog-style summary of new instructions.# aimlapi-llm-reasoning This skill provides a helper script for AIMLAPI chat + reasoning workflows. ## Security & Credentials - This skill requires an `AIMLAPI_API_KEY` environment variable. - Be cautious when using the `--apikey-file` flag; ensure the provided path is correct and secure. - Avoid including sensitive or private data in `--extra-json`, as this payload is sent to the remote API. ## New instructions - Every HTTP request sends a `User-Agent` header (configurable via `--user-agent`). - `run_chat.py` supports retries, API key from `--apikey-file`, and verbose logs. - Use `--extra-json` for reasoning/tooling/provider-specific fields. See `SKILL.md` for examples.
generate a bunch of images, then you curate the results to handpick the best ones
generate a bunch of images, then you curate the results to handpick the best ones
Productivity system based on Maya calendar with 13 natural tones for project management and personal development
Set up and use 1Password CLI (op). Use when installing the CLI, enabling desktop app integration, signing in (single or multi-account), or reading/injecting/running secrets via op.