david.delagneau
8026da5719
- Introduced new commands and skills for workspace memory curation, professional communication, and status reporting. - Updated existing commands to utilize new skills and improve clarity in instructions. - Created a new workspace context command to load reusable core and active project profile. - Enhanced Mattermost inbox integration with support for generic environment variables. - Established a clear separation between project-independent core logic and project-specific profiles. - Improved documentation across various files to reflect changes in workflow and command usage. - Added operational memory management rules to ensure accurate context promotion and correction. - Updated README and workflow documents to guide users in utilizing the new structure effectively.
27 lines
927 B
Markdown
27 lines
927 B
Markdown
---
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name: ai-prompt-engineering
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description: Create self-contained prompts for another AI assistant that lacks access to this workspace memory.
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compatibility: opencode
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---
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## When To Use
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Use this skill when the user wants a prompt for another AI assistant, coding agent, review tool, or implementation environment.
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## Workflow
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1. Identify target task type: investigation, implementation, review, testing, debugging, or documentation.
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2. Pull only relevant workspace context.
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3. Make the prompt self-contained.
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4. Tell the target AI what to inspect before acting.
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5. State constraints, non-goals, expected output, and validation expectations.
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6. Avoid invented file paths when the implementation repository is not available.
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## Output Rules
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- Return only the prompt unless the user asks for commentary.
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- Prefer clear sections over long prose.
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- Include work-item ID and title when relevant.
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- Make assumptions explicit.
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