slowman
Community@slowman2084
Miss the slow old times; AI’s pace is far too swift.
Agent Skills by slowman
Showing 15 vetted skills indexed across 1 GitHub repositories.
platform_react_runner
Run React Agent prompt tests on external platforms with LangGraph and MCP tooling.
meta-reviewer
Evaluate meta-prompt-engineer outputs against ExpectedOutput fingerprints for cheating and overfitting.
cls-query
Query and analyze Tencent Cloud CLS logs via SearchLog API.
meta-eval-judge
Score agent outputs against YAML rubrics or gold references with verified calculations.
meta-log-converter
Convert platform test stdout logs into ShareGPT-format JSON files.
meta-plan
Coordinates agent and skill creation, testing, calibration, and iteration via plan files and scripts.
meta-retrospective
Analyze prompt histories to detect anti-patterns and generate retrospective reports.
plan-mindmap
Generate MECE-validated presentation mindmaps from audience profiles and theme statements.
cls-query-skill
Query Tencent Cloud CLS logs with TC3-HMAC-SHA256 signed SearchLog requests.
meta-iterate
Coordinate iterative test and optimization cycles for Agents and Skills.
meta-testcase-gen
Generate ten YAML test cases with empty ExpectedOutput and Judge fields.
meta-ideal-state
Generate structured ideal_state.md documents defining Agent goals, intents, safety rules, and output templates.
meta-prompt-engineer
Translate ideal-state requirements into prompt artifacts, CoT workflows, and optimization plans.
meta-rubric-gen
Generate atomic YAML evaluation rubrics with integer points and negative constraints.
meta-debug
Diagnose consistency issues between prompt, ideal state, and rubrics to generate calibration_report.json.