ecc-python-patterns
Domain skill for 'python-patterns'. Use when requests involve Python development, testing, quality, and review workflows.
- License 许可
- MIT
- 最近更新
- 2026-03-08
- Stars
- ★ 2
- Forks
- 0
01 前言 Front Matter
- name
- ecc-python-patterns
- description
- Domain skill for 'python-patterns'. Use when requests involve Python development, testing, quality, and review workflows.
02 资源文件 8
- 参考文档references/actor-json.md2.3 KB
- 参考文档references/dataset-schema.md6.1 KB
- 参考文档references/input-schema.md1.9 KB
- 参考文档references/key-value-store-schema.md3.6 KB
- 参考文档references/logging.md2.7 KB
- 参考文档references/output-schema.md1.9 KB
- 参考文档references/standby-mode.md3.1 KB
- 参考文档references/upstream-summary.md4.9 KB
03 SKILL.md 正文
ecc-python-patterns
Apply the skill as a concrete workflow rather than static guidance.
Workflow
- Clarify the task objective and constraints.
- Load
references/upstream-summary.mdfor source intent. - Translate upstream harness-specific semantics into OpenClaw tool steps.
- Execute in smallest safe increments.
- Verify outcomes and report evidence.
Output Requirements
- Objective
- Actions taken
- Verification performed
- Risks/limitations
- Next recommended step
Rules
- Prefer deterministic scripts/commands when possible.
- Avoid unverified claims; provide evidence.
- If uncertain, state assumptions explicitly.
ECC Parity Notes
- This skill is adapted from ECC intent and translated to OpenClaw-native tool workflows.
- Prefer reproducible, tool-backed execution over harness-specific slash semantics.
- Keep outputs evidence-based and verification-first.
OpenClaw Constraints
- If upstream flow assumes unavailable hooks/tools, use documented fallback scripts in
openclaw-ecc/scripts/. - Mark non-applicable checks as
SKIPrather than hard-failing when environment support is absent.
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