{"slug":"tencentblueking-tapd-iteration-plan","source_name":"tencentblueking/tapd-iteration-plan","name":"Tencentblueking/Tapd Iteration Plan","description":"TAPD 迭代规划技能。基于\"approved\"状态的需求池，结合需求依赖关系、size 规模、\n优先级进行全局编排，将合适规模的需求规划进入指定迭代。支持新建迭代和已有迭代\n重入两种模式，自动控制迭代总规模上限（默认 1000），通过有向无环图（DAG）分析\n保证依赖需求优先入迭代。\nUse this skill whenever the user mentions 迭代规划, 规划迭代, 编排迭代,\niteration planning, 迭代编排, 需求入迭代, 排迭代, 拉迭代, 创建迭代,\nplan iteration, sprint planning, organize sprint,\nor any workflow involving TAPD iteration scheduling and story assignment.","version":1,"lift":{"pass_rate_delta_pts":18.18,"pass_rate_pct":59.1,"total_cases":22,"passed_cases":13,"tokens_delta_pct":147.2,"turns_delta_pct":0,"verdict":"mixed","benchmark_model":"gemini-3.6-flash","grading_method":"judged","completed_at":"2026-09-26T14:09:20.544435+00:00"},"skill_score":0.5909,"benchmark_models":[{"model":"gemini-3.6-flash","headline":true,"delta_pts":18.18,"with_pass_pct":59.1,"without_pass_pct":40.9,"tokens_delta_pct":147.2,"turns_delta_pct":0,"total_cases":22,"cases_aggregated":13,"verdict":"mixed","never_hurt":false,"completed_at":"2026-09-26T14:09:20.544435+00:00","run_id":"3d22dd31-e859-4c30-ab4b-81bdd2017b60","latest_attempt":{"id":"3d22dd31-e859-4c30-ab4b-81bdd2017b60","runner_model":"gemini-3.6-flash","overall_verdict":"mixed","completed_at":"2026-09-26T14:09:20.544435+00:00","gate":null},"version_number":1,"is_latest_version":true,"gate":null}],"trust":{"skill_safety":"passed","safety_status":"clean","intent_verdict":"safe","content_status":"clean","indexable":true},"license":"NOASSERTION","install_count":0,"total_uses":0,"total_users":0,"manifest_hash":"7156e36b750804e6ef6d2e95887b35f308ff0038e604d638e1bd572c74eea587","install_name":"tencentblueking-tapd-iteration-plan","version_id":"aa8be15c-0a1f-44c6-bc4e-00bd59927979","body_sha256":"7156e36b750804e6ef6d2e95887b35f308ff0038e604d638e1bd572c74eea587","render_hash":"23ca9e50ba71cfc94b0cd1d502cf905ed8f197d43435e123445f7c7decb10d5a","raw_url":"https://app.decimal.ai/s/tencentblueking-tapd-iteration-plan/SKILL.md","scorecard_url":"https://app.decimal.ai/skills/tencentblueking-tapd-iteration-plan"}