Bundle prompts with selected files and globs for AI code analysis.
npx skills add https://github.com/robertwaltos/openclaw --skill oracle-robertwaltos
Please help me install this Agent Skill. Skill: oracle Source: https://github.com/robertwaltos/openclaw/tree/main/skills/oracle Command: npx skills add https://github.com/robertwaltos/openclaw --skill oracle-robertwaltos
This Skill streamlines code analysis and generation by bundling prompts with relevant project files, enabling AI models to understand and interact with your codebase effectively.
Use the oracle skill to preview the token count for a task involving all files in the src directory, excluding test files.
High-intent search queries and answers about installing and using this skill.
To bundle prompts with files for AI code analysis, you package selected source files and globs together with your instructions. This explicit file selection ensures the AI model receives the exact context needed to process your codebase effectively.
Contextual code bundling is the process of packaging prompt instructions with relevant project files and globs. This mechanism transfers necessary context to AI models, enabling them to understand and interact with your specific codebase for analysis and generation.
Yes, you can use both API and browser engines for code analysis. The skill supports multi-engine configurations and includes session management, allowing you to reattach to long-running or detached AI sessions.
You preview token counts by selecting specific files and globs while excluding others, such as test files. The skill evaluates the bundled prompt and selected source files to estimate the token count before sending the context to the AI.
Yes, explicit file selection is required for effective prompt engineering. You must manually choose the relevant project files and globs to bundle with your prompt, ensuring the AI receives the precise context needed for accurate code generation.
ybsaBundle prompts with project files and globs for AI analysis.
cogpyBundle prompts with selected files and directories for AI analysis.
kolbickBundle natural language prompts with project files into a single AI input.
ZeptinyExtract conversation skeletons or error signals from Claude Code, Codex, or Cursor session files.
