agentic-engineering
SolidUse when designing or refactoring a model-native engineering workflow with bounded autonomy, probes, custom evaluation, durable state, and verified write-back.
AI & Automation 123 stars
18 forks Updated 3 days ago MIT
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Skill Content
# Agentic Engineering
<skill_contract>
<input>An engineering objective, inspectable repository or workflow, acceptance criteria, permissions, risk, and state location.</input>
<output>The smallest sufficient model-native process with bounded autonomy, evals, recovery, and verified write-back.</output>
<done>Fresh task and adoption evidence support the observable end state without crossing authority boundaries.</done>
<non_goals>Agent complexity for its own sake, premature multi-agent topology, or unverified knowledge promotion.</non_goals>
An agent is a stateful engineering process, not a prompt. Its quality ceiling is the combination of objective, context, tools, taste/evaluation, permissions, recovery, and feedback latency.
## Usage Template
Provide: engineering objective, repository/workflow, users, acceptance criteria, constraints, permissions, risk, current evidence, and durable state location.
## Workflow
<intake>
1. Inspect repository guidance, code, tests, state, and current failure before proposing architecture.
2. Define the observable end state, non-goals, owner, budget, and review bandwidth.
3. Run the adoption gate: use an agent only when ambiguity/adaptation outweigh orchestration, verification, and maintenance cost. Prefer deterministic code for stable transformations.
</intake>
<unknowns_gate>
Map unknowns into: known, probeable from tools/files, testable by prototype, and externally blocked. Probe boundary/interface unknowns before implement...
Details
- Author
- Mark393295827
- Repository
- Mark393295827/third-brain-v5-skills
- Created
- 2 months ago
- Last Updated
- 3 days ago
- Language
- HTML
- License
- MIT
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