# 企微早报多样性与去重 Implementation Plan > **For agentic workers:** REQUIRED SUB-SKILL: Use superpowers:subagent-driven-development (recommended) or superpowers:executing-plans to implement this plan task-by-task. Steps use checkbox (`- [ ]`) syntax for tracking. **Goal:** 实现企微早报硬去重多样性：五榜周去重（深池补满）、首推与昨日相同则改推（月去重）、叙事轴代码互斥、取消新闻「放宽窗口」凑数；且 `movement_baseline` 与 `wecom_shown_keys` 严格分离。 **Architecture:** 在 `daily generate` 管线加代码选择器：`board_select` 为 full/delta 唯一列表主人；周历史只读写 `data.wecom_shown_keys`（post-render）；`movement_baseline` 仍为 raw Top compare；`featured_resolve` 先定人再 research；`pick_narrative_axis` 代码选轴注入 Agent Step1；新闻关 backfill + 剥「放宽」前缀。 **Tech Stack:** Python 3.13+、现有 `unittest`/`pytest`、`daily/delta.py` / `format_wecom.py` / `featured_pick.py` / `news/fetch.py`、`output/*.data.json` **Spec:** `docs/superpowers/specs/2026-07-14-wecom-diversity-dedup-design.md`（Status: APPROVED） ## Global Constraints - `movement_baseline` **禁止**被展示历史覆写；周去重只读 `wecom_shown_keys` - full/delta **唯一列表主人** = `board_select`（delta 的 pad 共用同一套 shown 历史） - `DAILY_BOARD_DEDUP_DAYS` 默认 `7`；与 pad lookback 对齐且数据源同一 - `DAILY_FEATURED_DEDUP_DAYS` 默认 `30` - `DAILY_NARRATIVE_AXIS_DAYS` 默认 `3`；轴枚举固定 7 个（见 Task 5） - `DAILY_NEWS_BACKFILL` 默认 `0`（禁止旧闻凑数） - research 补新闻年龄上限 = `DAILY_AI_NEWS_HOURS`（不得变相 48h 放宽） - 不做：语义「同一类」、同日 Trending↔Hot 互斥、`FEATURED_FORCE`、关键短语硬匹配 - Commit 信息正文用中文（若本任务含 Commit 步） --- ## File Structure | 文件 | 职责 | |------|------| | `daily/config.py` | 新 env：`board_dedup_days`、`board_pool_size`、`featured_dedup_days`、`theme_ban_days`、`narrative_axis_days`、`news_backfill_enabled` | | `daily/board_history.py` | **新建** — `load_recent_shown_keys` / `extract_shown_keys` / `attach_wecom_shown_keys`（读写 `data.wecom_shown_keys`） | | `daily/board_select.py` | **新建** — `board_select(...)` 周过滤+深池 | | `daily/delta.py` | `load_recent_board_keys` 改为委托 `load_recent_shown_keys`（保留函数名兼容）；**不**改 `build_movement_baseline` | | `daily/format_wecom.py` | pad 使用 shown keys；可选返回最终展示 items 供写回 | | `daily/featured_pick.py` | `featured_identity_key`、`featured_resolve`、先定人再 research | | `daily/narrative_axis.py` | **新建** — `NARRATIVE_AXES`、`pick_narrative_axis`、`load_recent_axes` | | `daily/news/fetch.py` | `_apply_pushed_dedup_with_backfill` 尊重 `news_backfill_enabled()`；默认不塞回 | | `daily/news/research.py` + `skills/daily-ai-news-research/SKILL.md` | 禁放宽文案；补入不超时窗 | | `daily/text_utils.py` 或 `daily/news/sanitize.py` | `strip_news_relax_prefix(desc)` | | `daily/agent_workflow.py` | Step1 注入 axis + 近 7 日 theme 软禁；强制覆写冲突轴 | | `daily/generate.py` | 串联：select → featured → editorial → render → persist shown/key/axis | | `daily/report_data.py` | data.json 可携 `wecom_shown_keys` / `featured_pick_key` / `narrative_axis`（写回可由 generate 合并） | | `.env.example` | 文档化新变量 | | `skills/daily-agent/SKILL.md` | `narrative_axis` 必填且等于输入指定轴 | | `tests/test_board_select.py` | **新建** | | `tests/test_board_history.py` | **新建** | | `tests/test_featured_resolve.py` | **新建** | | `tests/test_narrative_axis.py` | **新建** | | `tests/test_news_relax.py` | **新建** | | `tests/test_wecom_delta.py` | 回归：pad 不读 movement 当展示史 | --- ### Task 1: Config + shown-keys 历史层 **Files:** - Modify: `daily/config.py`（文件末尾追加） - Create: `daily/board_history.py` - Modify: `daily/delta.py`（`load_recent_board_keys` 改委托） - Test: `tests/test_board_history.py` - Modify: `.env.example` **Interfaces:** - Consumes: `OUTPUT_DIR`、现有 `delta.skill_id` / repo key 约定 - Produces: - `board_dedup_days() -> int`（默认 7） - `board_pool_size() -> int`（默认 `max(50, env WECOM_SKILL_POOL)`） - `featured_dedup_days() -> int`（默认 30） - `theme_ban_days() -> int`（默认 7） - `narrative_axis_days() -> int`（默认 3） - `news_backfill_enabled() -> bool`（默认 False；env `DAILY_NEWS_BACKFILL`） - `extract_shown_keys(board: str, items: list[dict]) -> list[str]` - `load_recent_shown_keys(date_str: str, *, lookback_days: int | None = None) -> dict[str, set[str]]` - `merge_wecom_shown_into_data(data: dict, shown: dict[str, list[str]]) -> dict` - [ ] **Step 1: Write the failing test** ```python # tests/test_board_history.py from __future__ import annotations import json import os import tempfile import unittest from pathlib import Path from unittest.mock import patch from daily.board_history import extract_shown_keys, load_recent_shown_keys, merge_wecom_shown_into_data from daily.config import board_dedup_days, news_backfill_enabled class ConfigDiversityTests(unittest.TestCase): def test_board_dedup_days_default(self): with patch.dict(os.environ, {}, clear=True): self.assertEqual(board_dedup_days(), 7) def test_news_backfill_default_off(self): with patch.dict(os.environ, {}, clear=True): self.assertFalse(news_backfill_enabled()) class ShownKeysTests(unittest.TestCase): def test_extract_github_repo_keys(self): items = [{"repo": "a/b"}, {"repo": "c/d"}] self.assertEqual(extract_shown_keys("github_trending", items), ["a/b", "c/d"]) def test_load_recent_reads_wecom_shown_not_baseline(self): with tempfile.TemporaryDirectory() as tmp: out = Path(tmp) # 前日：shown 只有 x/y；baseline raw 含 a/b —— 周去重只能看到 x/y payload = { "data": { "date": "2026-07-13", "movement_baseline": { "github_trending": [{"repo": "a/b"}, {"repo": "x/y"}], }, "wecom_shown_keys": {"github_trending": ["x/y"]}, } } (out / "2026-07-13.data.json").write_text( json.dumps(payload, ensure_ascii=False), encoding="utf-8" ) with patch("daily.board_history.OUTPUT_DIR", out): keys = load_recent_shown_keys("2026-07-14", lookback_days=7) self.assertEqual(keys["github_trending"], {"x/y"}) self.assertNotIn("a/b", keys["github_trending"]) def test_merge_shown_does_not_touch_baseline(self): data = { "movement_baseline": {"github_trending": [{"repo": "raw/one"}]}, } merged = merge_wecom_shown_into_data( data, {"github_trending": ["shown/one"]} ) self.assertEqual( merged["movement_baseline"]["github_trending"][0]["repo"], "raw/one" ) self.assertEqual(merged["wecom_shown_keys"]["github_trending"], ["shown/one"]) ``` - [ ] **Step 2: Run test to verify it fails** Run: `pytest tests/test_board_history.py -v` Expected: FAIL（模块/函数不存在） - [ ] **Step 3: Implement config + board_history + delta 委托** 在 `daily/config.py` 追加： ```python def board_dedup_days() -> int: return max(1, env_int("DAILY_BOARD_DEDUP_DAYS", 7)) def board_pool_size() -> int: fallback = env_int("DAILY_WECOM_SKILL_POOL", 50) return max(1, env_int("DAILY_BOARD_POOL_SIZE", max(50, fallback))) def featured_dedup_days() -> int: return max(1, env_int("DAILY_FEATURED_DEDUP_DAYS", 30)) def theme_ban_days() -> int: return max(1, env_int("DAILY_THEME_BAN_DAYS", 7)) def narrative_axis_days() -> int: return max(1, env_int("DAILY_NARRATIVE_AXIS_DAYS", 3)) def news_backfill_enabled() -> bool: return env_bool("DAILY_NEWS_BACKFILL", False) ``` 新建 `daily/board_history.py`：实现 `BOARD_KEYS` 与 `delta.RECENT_BOARD_KEYS` 同五榜；Skills 用 `delta.skill_id`；GitHub 用 `repo`；`load_recent_shown_keys` **只**读各日 `data.wecom_shown_keys`，缺省空集，读写失败打 log 后当空集。 修改 `daily/delta.py` 的 `load_recent_board_keys`：改为 ```python def load_recent_board_keys(date_str: str, *, lookback_days: int | None = None) -> dict[str, set[str]]: from daily.board_history import load_recent_shown_keys from daily.config import board_dedup_days days = lookback_days if lookback_days is not None else board_dedup_days() return load_recent_shown_keys(date_str, lookback_days=days) ``` 删除（或不再走）原「从 movement_baseline 抽 keys」逻辑，避免 pad 继续把 raw Top 当展示史。 `.env.example` 追加注释块： ```env # 多样性 / 去重（见 docs/superpowers/specs/2026-07-14-wecom-diversity-dedup-design.md） # DAILY_BOARD_DEDUP_DAYS=7 # DAILY_BOARD_POOL_SIZE=50 # DAILY_FEATURED_DEDUP_DAYS=30 # DAILY_THEME_BAN_DAYS=7 # DAILY_NARRATIVE_AXIS_DAYS=3 DAILY_NEWS_BACKFILL=0 ``` - [ ] **Step 4: Run tests** Run: `pytest tests/test_board_history.py tests/test_wecom_delta.py -v` Expected: `test_board_history` PASS；既有 delta 测试若依赖「baseline 即 recent」行为，按 Task 1 语义改断言为 shown_keys（本 Task 内修回归，勿留红）。 - [ ] **Step 5: Commit** ```bash git add daily/config.py daily/board_history.py daily/delta.py .env.example tests/test_board_history.py tests/test_wecom_delta.py git commit -m "feat: 拆分 wecom_shown_keys 与 movement_baseline 历史层" ``` --- ### Task 2: `board_select` 周去重 + 深池 **Files:** - Create: `daily/board_select.py` - Test: `tests/test_board_select.py` **Interfaces:** - Consumes: `extract_shown_keys` / `skill_id`；`group_skills_by_source`（Skills 板） - Produces: - `board_select(*, board: str, items: list[dict], recent_keys: set[str], limit: int, pool_size: int, kind: Literal["skill","github"]) -> list[dict]` - 日志短榜：`board_short:{board}:{n}`（`logging.getLogger(__name__).info`） - [ ] **Step 1: Write the failing test** ```python # tests/test_board_select.py from __future__ import annotations import unittest from daily.board_select import board_select def _gh(repo: str) -> dict: return {"repo": repo, "description": repo} class BoardSelectTests(unittest.TestCase): def test_filters_recent_and_keeps_order(self): pool = [_gh(f"o/r{i}") for i in range(20)] recent = {"o/r0", "o/r1", "o/r2"} out = board_select( board="github_trending", items=pool, recent_keys=recent, limit=5, pool_size=20, kind="github", ) keys = [x["repo"] for x in out] self.assertEqual(keys, ["o/r3", "o/r4", "o/r5", "o/r6", "o/r7"]) def test_deep_pool_fills_after_filter(self): pool = [_gh(f"o/r{i}") for i in range(8)] recent = {f"o/r{i}" for i in range(6)} # 前 6 全封 out = board_select( board="github_emerging", items=pool, recent_keys=recent, limit=5, pool_size=8, kind="github", ) self.assertEqual([x["repo"] for x in out], ["o/r6", "o/r7"]) # 短榜 def test_skill_uses_skill_id(self): items = [ {"id": "a/b/s1", "source": "a/b", "title": "s1", "installs": 10}, {"id": "c/d/s2", "source": "c/d", "title": "s2", "installs": 9}, ] out = board_select( board="skills_trending", items=items, recent_keys={"a/b/s1"}, limit=10, pool_size=50, kind="skill", ) self.assertEqual([x["id"] for x in out], ["c/d/s2"]) ``` - [ ] **Step 2: Run test to verify it fails** Run: `pytest tests/test_board_select.py -v` Expected: FAIL - [ ] **Step 3: Implement `board_select`** ```python # daily/board_select.py — 核心逻辑示意 def board_select(*, board, items, recent_keys, limit, pool_size, kind): if kind == "skill": from daily.skills_group import group_skills_by_source pool = group_skills_by_source(items, limit=pool_size, pool_size=pool_size) def key_fn(x): return skill_id(x) else: pool = items[: max(pool_size, limit)] def key_fn(x): return str(x.get("repo") or "") out = [] for item in pool: k = key_fn(item) if not k or k in recent_keys: continue out.append(item) if len(out) >= limit: break if len(out) < limit: logger.info("board_short:%s:%s", board, len(out)) return out ``` Skills：输入可为未 group 的 raw；函数内 group。GitHub：输入为 repo 列表。 - [ ] **Step 4: Run tests — expect PASS** Run: `pytest tests/test_board_select.py -v` - [ ] **Step 5: Commit** ```bash git add daily/board_select.py tests/test_board_select.py git commit -m "feat: 实现 board_select 周去重与深池补满" ``` --- ### Task 3: 接入 generate / format_wecom（唯一列表主人 + post-render 写回） **Files:** - Modify: `daily/generate.py`（选榜、传入 pad、渲染后 merge shown） - Modify: `daily/format_wecom.py`（delta pad 已通过改写后的 `load_recent_board_keys` 读 shown；确保传入的 `*_pad` 池已是 `board_select` 深池结果） - Modify: `daily/report_data.py`（可选：llm_input 切片改为 board_select 后列表，避免 Agent 看见未去重 Top） - Test: `tests/test_board_history.py` 增补「shown ≠ baseline 推导」集成断言；`tests/test_wecom_delta.py` pad 用例 **Interfaces:** - Consumes: Task1–2 - Produces: 每次成功 generate 后 `output/{date}.data.json` 含 `data.wecom_shown_keys` - [ ] **Step 1: Write / extend failing integration test** ```python def test_persist_shown_keys_differs_from_baseline_keys(self): # 构造：raw trending 前 3 名本周已 shown；board_select 选出 3..； # movement_baseline 仍含 0..compare_depth # 断言 data["wecom_shown_keys"]["github_trending"] 与 baseline repos 集合不等 ... ``` （可用临时 `OUTPUT_DIR` + 调用抽取出的 `persist` 辅助，或测 `merge_wecom_shown_into_data` + `board_select` 组合。） - [ ] **Step 2: Run — expect FAIL（generate 尚未写 shown）** - [ ] **Step 3: Wire generate** 在 `generate_report` 中，在组装 wecom 榜之前： 1. `recent = load_recent_shown_keys(date_str)` 2. 对五榜分别 `board_select(...)` 得到 `selected_*`（limit=wecom_*，pool=`board_pool_size()`） 3. full：渲染用 `selected_*` 4. delta：`trending_pad`/`github_*_pad` = 同规则更大 pool 的 select 结果（或 raw 深池再 select）；`replace_wecom_board_sections(..., pad=True)` 内部 recent 已是 shown 5. 渲染后根据**最终写入正文的 items**（full=selected；delta=函数返回或并行计算最终列表）调用 `extract_shown_keys`，`merge_wecom_shown_into_data`，写回 data.json（在现有 `save_json` 路径合并字段） 注意：`movement_baseline` 仍用 **raw** compare 切片构建（`report_data.build_llm_input` 现逻辑保留）。 若 `build_llm_input` 当前把未过滤 Top 塞进 Agent：改为传入 `selected_*`（或另字段 `boards_for_wecom`），避免 opening 引用已周封杀的榜首。 辅助：在 `format_wecom` 增加 `resolve_wecom_board_items(...)` 返回最终 items dict，供写回与 featured 池 A 共用，避免正文与 history 分叉。 - [ ] **Step 4: Run tests** Run: `pytest tests/test_board_select.py tests/test_board_history.py tests/test_wecom_delta.py -v` Expected: PASS - [ ] **Step 5: Commit** ```bash git add daily/generate.py daily/format_wecom.py daily/report_data.py tests/ git commit -m "feat: generate 以 board_select 为唯一列表主人并写回 shown keys" ``` --- ### Task 4: `featured_resolve`（先定人再 research） **Files:** - Modify: `daily/featured_pick.py` - Modify: `daily/generate.py`（调用顺序） - Test: `tests/test_featured_resolve.py` **Interfaces:** - Consumes: 最终展示 items（池 A）、raw 深池（池 B）、近 30 日 `featured_pick_key` - Produces: - `featured_identity_key(featured: dict) -> str`（`type==skill` → id；github → repo；兜底 url path） - `load_recent_featured_keys(date_str, days) -> set[str]` - `featured_resolve(*, date_str, candidate: dict | None, pool_a: list[dict], pool_b: list[dict], rng: random.Random | None) -> tuple[dict | None, str | None]` 返回 `(resolved_seed_or_featured_stub, identity_key)`；**不含**完整 why（why 由后续 research 写） - 改 `apply_featured_pick`：先 resolve 身份（若与昨日冲突则换候选写入 query），再 `research_featured_pick` - [ ] **Step 1: Failing tests** ```python # tests/test_featured_resolve.py def test_same_as_yesterday_picks_from_pool_a(self): yesterday_key = "headroomlabs-ai/headroom" pool_a = [ {"repo": "headroomlabs-ai/headroom", "board": "github_topic"}, {"repo": "ollama/ollama", "board": "github_trending"}, ] rng = random.Random(0) resolved, key = featured_resolve( date_str="2026-07-14", candidate={"type": "github", "url": "https://github.com/headroomlabs-ai/headroom", "title": "headroom"}, pool_a=pool_a, pool_b=[], recent_featured={yesterday_key}, yesterday_key=yesterday_key, rng=rng, ) self.assertNotEqual(key, yesterday_key) self.assertEqual(key, "ollama/ollama") def test_pool_a_before_pool_b(self): ... def test_exhausted_keeps_original(self): ... ``` - [ ] **Step 2: Run — FAIL** - [ ] **Step 3: Implement** `featured_resolve`：若无 candidate 或与 `yesterday_key` 不同 → 原样返回。 冲突时：过滤 `recent_featured | {yesterday_key}`，先从 pool_a 建可选项（每项抽 identity），`rng.choice`；空则 pool_b；仍空 log `featured_fallback_exhausted` 并保留原 candidate。 `apply_featured_pick` / generate 流程： 1. 解析 env 得到初始 query/candidate 2. `featured_resolve`（此时池 A 已是 board_select 结果） 3. 若换人：用新 repo/skill 构造 config，再 `research_featured_pick` 4. 写入 `llm_input["featured_pick"]` 与之后 data.`featured_pick_key` 随机默认：`random.Random(int(hashlib.sha256(f"{date_str}:featured".encode()).hexdigest()[:16], 16))` - [ ] **Step 4: pytest PASS** - [ ] **Step 5: Commit** ```bash git add daily/featured_pick.py daily/generate.py tests/test_featured_resolve.py git commit -m "feat: 首推与昨日冲突时改推并保证一月不重复" ``` --- ### Task 5: `narrative_axis` 硬互斥 + Step1 软禁 theme **Files:** - Create: `daily/narrative_axis.py` - Modify: `daily/agent_workflow.py`（`analyze_trends`） - Modify: `skills/daily-agent/SKILL.md` - Modify: `daily/generate.py`（落盘 `narrative_axis`；注入 llm_input） - Test: `tests/test_narrative_axis.py` **Interfaces:** - Produces: - `NARRATIVE_AXES: tuple[str, ...] = ("政策监管", "模型发布", "工具链/Agent", "芯片算力", "开源生态", "应用落地", "安全/诉讼")` - `pick_narrative_axis(used: set[str], *, rng: random.Random | None = None) -> str` - `load_recent_axes(date_str, days) -> list[str]`（近 N 日 data.`narrative_axis`） - `enforce_narrative_axis(trends: dict, axis: str) -> dict`（强制 trends["narrative_axis"]=axis） - [ ] **Step 1: Failing tests** ```python def test_pick_excludes_used(self): used = {"政策监管", "模型发布", "工具链/Agent"} for _ in range(20): axis = pick_narrative_axis(used, rng=random.Random(1)) self.assertNotIn(axis, used) def test_enforce_overwrites_llm(self): trends = {"narrative_axis": "开源生态", "opening": "..."} out = enforce_narrative_axis(trends, "芯片算力") self.assertEqual(out["narrative_axis"], "芯片算力") ``` - [ ] **Step 2: FAIL → Step 3 implement** `analyze_trends`：计算 `axis = pick_narrative_axis(set(load_recent_axes(...)))`；把 `required_narrative_axis` 与近 `theme_ban_days` 的 theme/opening 摘要列表注入 system prompt；要求 JSON 含 `narrative_axis` 且必须等于 required。解析后 `enforce_narrative_axis`。 generate 将 axis 写入 data.json。 SKILL.md Step1 schema 增加 `narrative_axis` 字段说明。 - [ ] **Step 4–5: pytest + commit** ```bash git commit -m "feat: 代码选定叙事轴并注入 Agent 开场约束" ``` --- ### Task 6: 取消新闻「放宽窗口」 **Files:** - Modify: `daily/news/fetch.py`（`_apply_pushed_dedup_with_backfill`） - Modify: `daily/news/research.py`（确认只 filter_unpushed；不足不拉超窗） - Create: `daily/news/sanitize.py`（或放入 `text_utils`）— `strip_relax_window_prefix(text: str) -> str` - Modify: `skills/daily-ai-news-research/SKILL.md`（删除「放宽至 48h 并注明」；改为不足则少返回、禁止标注） - Modify: `daily/generate.py` / news finalize（对 desc_short 剥前缀） - Test: `tests/test_news_relax.py`；扩展 `tests/test_news_fetch_window.py` **Interfaces:** - `news_backfill_enabled() == False` 时：`_apply_pushed_dedup_with_backfill` 等价于只返回 `filter_unpushed_items(...)[:limit]`，**不**再从 `picked` 塞回 - `strip_relax_window_prefix`：去掉开头的 `放宽窗口[:：]?` / `放宽至[^：:]*[:：]` - [ ] **Step 1: Failing tests** ```python def test_backfill_disabled_does_not_reinsert_pushed(self): # fresh 不足 limit；picked 含已推；BACKFILL=0 → 结果不含已推 link ... def test_strip_relax_prefix(self): self.assertEqual( strip_relax_window_prefix("放宽窗口：苹果起诉 OpenAI"), "苹果起诉 OpenAI", ) ``` - [ ] **Step 2–4: 实现并跑 `pytest tests/test_news_relax.py tests/test_news_fetch_window.py -v`** Research 路径：SKUILL 改完后，代码侧对 items 统一 `strip`；不足时 log `news_short:{n}`，接受短列表。 - [ ] **Step 5: Commit** ```bash git commit -m "fix: 关闭新闻放宽凑数并剥离放宽窗口文案" ``` --- ### Task 7: 端到端回归与文档对齐 **Files:** - Modify: 如有遗漏的 `.env.example` / SKILL - Test: 全量相关测试 - [ ] **Step 1: 跑全套** Run: ```bash pytest tests/test_board_history.py tests/test_board_select.py tests/test_featured_resolve.py tests/test_narrative_axis.py tests/test_news_relax.py tests/test_news_fetch_window.py tests/test_wecom_delta.py tests/test_featured_pick.py -v ``` Expected: 全部 PASS - [ ] **Step 2: Spec 对照清单（人工）** | Spec 要求 | 任务 | |-----------|------| | wecom_shown_keys ≠ movement_baseline | T1, T3 | | board_select 唯一主人 + delta pad 共用 shown | T2, T3 | | 首推月去重 A→B、先定人再 why | T4 | | narrative_axis 硬保证 | T5 | | 禁放宽 backfill + 剥前缀 + hours 窗 | T6 | | 成功标准可测 | 各测覆盖 | - [ ] **Step 3: Commit（若有收尾文档）** ```bash git add -u git commit -m "test: 多样性去重全链路回归通过" ``` --- ## Spec Coverage Self-Review | Spec 节 | 计划任务 | |---------|----------| | 1.1 双基准分离 | T1 | | 1.2 唯一列表主人 | T2–T3 | | 1.3 真相表 | T1, T3–T5 落盘字段 | | 2.1 board_select | T2 | | 2.2 featured_resolve | T4 | | 3.1 narrative_axis + 软 theme | T5 | | 3.2 取消放宽 | T6 | | 4.x 配置/降级/测试 | T1–T7 | 无 TBD；Commit 信息均为中文描述体。 ## Execution Handoff Plan complete and saved to `docs/superpowers/plans/2026-07-14-wecom-diversity-dedup.md`. **两种执行方式：** 1. **Subagent-Driven（推荐）** — 每任务新开子代理，任务间审查 2. **Inline Execution** — 本会话按 `executing-plans` 连续做完，设检查点 要哪个？