Bundle prompts and selected files into a single context-rich request.
npx skills add https://github.com/hcnimi/clawdis --skill oracle-hcnimi
Please help me install this Agent Skill. Skill: oracle Source: https://github.com/hcnimi/clawdis/tree/main/skills/oracle Command: npx skills add https://github.com/hcnimi/clawdis --skill oracle-hcnimi
Oracle bundles your prompt + selected files into one context-rich request so another model can answer with project context (API or browser automation). Treat output as advisory: verify against code + tests.
Run oracle with a task and attach relevant files using --file patterns to seed the prompt.
High-intent search queries and answers about installing and using this skill.
To bundle prompts with files, you attach selected files via --file patterns to seed code and docs into a single context-rich request. This ensures the model sees repository context when generating guidance.
Prompt bundling for code review works by combining your prompt and selected code files into one request. Session management coordinates these prompt payloads with file attachments for long-running, contextual tasks.
Yes, you can select a specific engine and model for prompt bundling. The tool supports engine and model selection, allowing you to direct your context-rich request to the desired model.
The best way to include repository context is bundling prompts and files into a single request. You attach files using flexible --file patterns to seed code, docs, and assets for the model.
Yes, you can test prompt bundling without sending requests by using the --dry-run flag. This allows you to verify the bundled prompt and file attachments before the actual model guidance is generated.
No, AI responses from bundled prompts are not safe to apply directly. You should treat the output as advisory and always verify the model guidance against your actual code and tests.
bitan-delBundle prompts with attached files into one-shot AI requests.
steipeteBundle prompts and files into a single one-shot request for repository-context aware answers.
alexei-ledDelegate coding tasks to an OpenAI Codex agent via the Codex CLI.
dakshrawat298-gifBundle prompts with selected files for contextual AI model runs.
