Agent skill

Skill Content Postmortem

内容复盘与爆款规律提炼。两种模式：(A) 单条复盘 — 分析一条已发布内容为什么爆/扑，从 Hook、结构、选题、时间、平台适配等维度拆解原因；(B) 规律提炼 — 从多条内容中提炼爆款共同特征、总结可复制的爆款公式。当用户说"这条为什么火了"、"为什么扑了"、 "复盘"、"分析数据"、"爆款规律"、"总结规律"、"爆款公式"、"内容复盘"、"什么规律"时触发。

Apache-2.0Auto-check passedDevOps & Cloud

Install Skill Content Postmortem

skills CLI

$ npx skills add ZJU-REAL/Easel --skill skill-content-postmortem -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install ZJU-REAL/Easel skill-content-postmortem --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/ZJU-REAL/Easel.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/openclaw/skill-content-postmortem .claude/skills/skill-content-postmortem && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "skill-content-postmortem" agent skill from https://github.com/ZJU-REAL/Easel/tree/main/skills/openclaw/skill-content-postmortem into .claude/skills/skill-content-postmortem/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-content-postmortem", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/ZJU-REAL/Easel/tree/main/skills/openclaw/skill-content-postmortem

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add ZJU-REAL/Easel --skill skill-content-postmortem -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install ZJU-REAL/Easel skill-content-postmortem --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/ZJU-REAL/Easel.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/openclaw/skill-content-postmortem .agents/skills/skill-content-postmortem && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "skill-content-postmortem" agent skill from https://github.com/ZJU-REAL/Easel/tree/main/skills/openclaw/skill-content-postmortem into .agents/skills/skill-content-postmortem/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-content-postmortem", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add ZJU-REAL/Easel --skill skill-content-postmortem -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install ZJU-REAL/Easel skill-content-postmortem --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/ZJU-REAL/Easel.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/openclaw/skill-content-postmortem .cursor/skills/skill-content-postmortem && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "skill-content-postmortem" agent skill from https://github.com/ZJU-REAL/Easel/tree/main/skills/openclaw/skill-content-postmortem into .cursor/skills/skill-content-postmortem/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-content-postmortem", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/ZJU-REAL/Easel.git --path skills/openclaw/skill-content-postmortem

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add ZJU-REAL/Easel --skill skill-content-postmortem -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install ZJU-REAL/Easel skill-content-postmortem --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/ZJU-REAL/Easel.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/openclaw/skill-content-postmortem .gemini/skills/skill-content-postmortem && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "skill-content-postmortem" agent skill from https://github.com/ZJU-REAL/Easel/tree/main/skills/openclaw/skill-content-postmortem into .gemini/skills/skill-content-postmortem/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-content-postmortem", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install ZJU-REAL/Easel skill-content-postmortem

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add ZJU-REAL/Easel --skill skill-content-postmortem -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/ZJU-REAL/Easel.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/openclaw/skill-content-postmortem .github/skills/skill-content-postmortem && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "skill-content-postmortem" agent skill from https://github.com/ZJU-REAL/Easel/tree/main/skills/openclaw/skill-content-postmortem into .github/skills/skill-content-postmortem/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-content-postmortem", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add ZJU-REAL/Easel --skill skill-content-postmortem -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install ZJU-REAL/Easel skill-content-postmortem --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/ZJU-REAL/Easel.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/openclaw/skill-content-postmortem .opencode/skills/skill-content-postmortem && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "skill-content-postmortem" agent skill from https://github.com/ZJU-REAL/Easel/tree/main/skills/openclaw/skill-content-postmortem into .opencode/skills/skill-content-postmortem/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-content-postmortem", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: skill-content-postmortem
GitHub stars: 3.3k
Token cost: ~1.1k tokens
SKILL.md length: 214 words
Files: 4 (incl. scripts, references)
Skills in repo: 113
Repo updated: Oct 9, 2026
First seen: Oct 7, 2026
Licence: Apache-2.0

At a glance

Works in 7 steps: 确认模式：根据用户输入判断是单条复盘还是规律提炼。若用户只提供一条内容，进入模式… → 采集上下文：确认平台、发布时间、数据指标。缺失数据主动询问一次，用户不补充则继续。 → 基线建立：若有同期对照数据，计算偏离度；若无，使用平台通用基线（参考… → …
Tasks that involve Runbooks and postmortems
SKILL.md covers 输入, 输出, 执行步骤 and Profile 感知
Runs Python scripts from its folder; calls python3

What it does

Skill Content Postmortem is an agent skill from ZJU-REAL/Easel. 内容复盘与爆款规律提炼。两种模式：(A) 单条复盘 — 分析一条已发布内容为什么爆/扑，从 Hook、结构、选题、时间、平台适配等维度拆解原因；(B) 规律提炼 — 从多条内容中提炼爆款共同特征、总结可复制的爆款公式。当用户说"这条为什么火了"、"为什么扑了"、 "复盘"、"分析数据"、"爆款规律"、"总结规律"、"爆款公式"、"内容复盘"、"什么规律"时触发。

Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including scripts and reference files (for example `EASEL-META.md`, `references/postmortem-dimensions.md` and `scripts/aggregate.py`).

It sits in DevOps & Cloud, covering Runbooks and postmortems. The repository describes itself as: An open-source AI agent for social media — discover trends, create content, publish everywhere, and learn what works across Xiaohongshu, Douyin, Zhihu, Bilibili, and more.🎨一个开源的… The licence is Apache-2.0.

When your agent uses it

Tasks that involve Runbooks and postmortems

Example prompts

“这条为什么火了”
“/skill-content-postmortem”

Requirements

Python 3

Workflow steps

7 steps, taken from the first numbered list in SKILL.md.

确认模式：根据用户输入判断是单条复盘还是规律提炼。若用户只提供一条内容，进入模式 A。
采集上下文：确认平台、发布时间、数据指标。缺失数据主动询问一次，用户不补充则继续。
基线建立：若有同期对照数据，计算偏离度；若无，使用平台通用基线（参考 references/ 中的平台特征数据）。
多维拆解：可打分维度（Hook力/内容结构/信息密度/互动引导/视觉排版/平台适配）用 references/postmortem-dimensions.md 的 1-10 标尺；选题、时间节奏做定性判断。每个维度给出判断和证据。
归因排序：识别最关键的 1-2 个成败因素，区分"内容因素"和"运气因素"（如平台推荐、热点窗口）。
生成处方：输出 3 条具体、可执行、有优先级的改进建议。
输出报告：按输出模板生成完整报告，保存到 outputs/。

What it can do on your machine

Read from SKILL.md and the folder at commit 5e0ccc1. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
- python3
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Skill Content Postmortem loads about 1.1k tokens when it runs, and up to ~1.5k if it reads all its reference files. Until then it costs about 52 tokens; SKILL.md has 214 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~52
When it runs · the whole SKILL.md, loaded when a task matches: ~1.1k
With references · SKILL.md plus every file in references/, read only if the agent opens them: ~1.5k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from ZJU-REAL/Easel at commit 5e0ccc1, republished under its Apache-2.0 licence (© ZJU-REAL). 214 words, ~1,055 tokens.

Download SKILL.mdSave it as .claude/skills/skill-content-postmortem/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.

name: skill-content-postmortem
description: 内容复盘与爆款规律提炼。两种模式：(A) 单条复盘 — 分析一条已发布内容为什么爆/扑，从 Hook、结构、选题、时间、平台适配等维度拆解原因；(B) 规律提炼 — 从多条内容中提炼爆款共同特征、总结可复制的爆款公式。当用户说"这条为什么火了"、"为什么扑了"、 "复盘"、"分析数据"、"爆款规律"、"总结规律"、"爆款公式"、"内容复盘"、"什么规律"时触发。
layer: attribute

内容复盘与爆款规律提炼

拆解单条内容的成败原因，或从多条内容中提炼可复制的爆款公式。

输入

模式 A — 单条复盘

字段	必填	说明
内容原文或链接	是	已发布的帖子全文（标题 + 正文 + 标签）
平台	是	小红书 / 抖音 / 微博 / 知乎 / B站 / 公众号 / X 等
数据指标	推荐	阅读/播放、点赞、收藏、评论、转发、完播率等
发布时间	推荐	具体日期和时间
同期对照	可选	同账号近期其他帖子的平均数据，用于基线比较

模式 B — 规律提炼

字段	必填	说明
多条内容数据	是	至少 5 条内容的标题、正文摘要、平台、核心指标
时间范围	推荐	数据覆盖的起止时间
筛选标准	可选	用户定义的"爆"与"扑"的阈值（如收藏 > 500 为爆）

若用户未提供数据指标，基于内容本身做定性分析，明确标注"无数据支撑，仅为结构性判断"。

输出

模式 A — 单条复盘报告

markdown

# 内容复盘：[标题摘要]

## 结论速览
- 判定：爆款 / 中等 / 扑街（附判定依据）
- 核心成因：一句话总结

## 多维拆解

### 1. Hook 分析
- 开头类型（提问 / 冲突 / 数字 / 故事 / 悬念）
- 前 3 秒 / 前 2 行吸引力评分（1-10）
- 改进建议

### 2. 内容结构
- 结构类型（总分总 / 递进 / 并列 / 故事弧）
- 信息密度与节奏
- 高光点与断裂点

### 3. 选题评估
- 选题热度（趋势型 / 常青型 / 冷门型）
- 受众痛点匹配度
- 差异化角度

### 4. 平台适配
- 是否符合平台内容偏好
- 格式适配（图文 / 视频 / 长度 / 标签策略）
- 分发机制利用程度

### 5. 时间与节奏
- 发布时间是否为活跃时段
- 是否踩中热点窗口
- 互动节奏（评论区运营）

### 6. 视觉 / 封面（如适用）
- 封面吸引力
- 视觉风格与平台调性匹配

## 改进处方
- 3 条具体可执行的优化建议（按优先级排序）

## 数据备注
- 数据来源与置信度说明

维度评分标尺

references/postmortem-dimensions.md 提供 Hook力 / 内容结构 / 信息密度 / 互动引导 / 视觉排版 / 平台适配六维的 1-10 打分标尺；选题、时间节奏为定性分析维度（不打分）。

分数	含义
1-3	该维度存在明显问题，是拖累整体表现的短板
4-6	及格水平，无明显硬伤但缺乏亮点
7-8	优于同类内容平均水平，有可复用的做法
9-10	该维度是本条内容的核心竞争力

模式 B — 规律提炼报告

markdown

# 爆款规律提炼：[账号/主题]

## 数据概览
- 分析范围：X 条内容，时间 Y-Z
- 爆款标准：[用户定义或系统推断的阈值]
- 爆款率：X%

## 爆款共同特征
| 维度 | 爆款共性 | 扑街共性 | 差异显著性 |
|------|----------|----------|------------|
| Hook 类型 | | | |
| 选题方向 | | | |
| 内容结构 | | | |
| 发布时间 | | | |
| 内容长度 | | | |
| 标签策略 | | | |
| 视觉风格 | | | |

## 爆款公式
- 公式 1：[选题类型] + [Hook 模式] + [结构] = 高概率爆款
- 公式 2：...
- 反面公式：[避免的组合]

## 可复制行动清单
1. 下一条内容立即可用的 3 个策略
2. 中期优化方向（1-2 周内调整）

## 数据局限
- 样本量、数据完整性、平台算法变化等局限说明

爆款公式模板

[标题公式] 情绪词 + 数字 + 悬念/反差 [结构公式] Hook(前3秒) → 痛点共鸣 → 解决方案 → 行动号召 [选题公式] 热点事件 × 垂直领域 × 反常识角度

每个拆解输出：

公式名称（≤8字，便于复用）
公式结构（用 → 连接各环节）
可迁移条件（什么类型的内容可以套用）
套用示例（用创作者自己的领域举一个例子）

执行步骤

模式 A — 单条复盘

确认模式：根据用户输入判断是单条复盘还是规律提炼。若用户只提供一条内容，进入模式 A。
采集上下文：确认平台、发布时间、数据指标。缺失数据主动询问一次，用户不补充则继续。
基线建立：若有同期对照数据，计算偏离度；若无，使用平台通用基线（参考 references/ 中的平台特征数据）。
多维拆解：可打分维度（Hook力/内容结构/信息密度/互动引导/视觉排版/平台适配）用 references/postmortem-dimensions.md 的 1-10 标尺；选题、时间节奏做定性判断。每个维度给出判断和证据。
归因排序：识别最关键的 1-2 个成败因素，区分"内容因素"和"运气因素"（如平台推荐、热点窗口）。
生成处方：输出 3 条具体、可执行、有优先级的改进建议。
输出报告：按输出模板生成完整报告，保存到 outputs/。

模式 B — 规律提炼

聚合统计交给脚本，LLM 只做规律提炼。 阈值划分 top20%、爆款组 vs 普通组分组对比、多维交叉、标签共现全部由 scripts/aggregate.py 完成（复用 ../../shared/scripts/social_stats.py 的 engagement_score/engagement_rate/cooccurrence/pct_change/sample_warning）。

数据摄入：接收多条内容数据，标准化为统一 JSON 数组（每条含标题、平台、数值指标 likes/collects/comments/shares/views，及维度字段 hook_type/topic/structure/length_bucket/time_bucket/tags 等），写入临时文件。

调用脚本聚合：

bash

python3 skills/openclaw/skill-content-postmortem/scripts/aggregate.py --input contents.json
python3 skills/openclaw/skill-content-postmortem/scripts/aggregate.py --input contents.json \
  --metric collects --threshold 500 --cross "hook_type,topic"  # 指定排名字段/绝对阈值/两维交叉

脚本自动完成：阈值划分（--threshold 优先，否则 --top-pct 百分位）、爆款组/普通组分组对比（每维度 count/top_count/top_rate_pct/avg_score/lift_vs_global）、两维交叉、标签共现、样本量警告。

模式识别 + 公式生成（LLM 解读）：从 by_dimension/cross 读出爆款组高频、高 lift 的取值组合，总结为可复制的"爆款公式"（选题 + Hook + 结构）。
反面总结 + 行动清单（LLM 解读）：从低 top_rate / 负 lift 取值总结"避坑清单"，输出分层建议（立即可用 / 中期调整），转达脚本样本量 warning。
输出报告：按模板生成，保存到 outputs/。

Profile 感知

有 Profile 时：

读取 identity.md（账号定位、内容风格、赛道信息）
读取 audience.md（目标受众画像、痛点偏好）
读取 platforms.md（各平台运营策略与历史表现）
复盘时结合账号定位判断选题适配度（"这个选题对你的受众来说太泛了"）
规律提炼时按账号阶段给出针对性建议（冷启动期 vs 增长期 vs 变现期）
对照 Profile 中的"表现好的内容"做历史比较

无 Profile 时：

退到通用模式，基于平台通用规律分析
不做账号定位相关的适配度判断
提示用户补充 Profile（identity.md / audience.md / platforms.md）可获得更精准复盘

自研溯源与参考项目见同目录 EASEL-META.md。

Files

SKILL.md and 3 other files (scripts, references) in skills/openclaw/skill-content-postmortem of ZJU-REAL/Easel.

SKILL.md
EASEL-META.md
references/postmortem-dimensions.md
scripts/aggregate.py

Open the folder on GitHubat commit 5e0ccc1

Compare with similar skills

Skill Content Postmortem next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Skill Content Postmortem compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Skill Content Postmortem this skillZJU-REAL/Easel	3.3k	—	~1.1k	Automated safety check: Pass	Apache-2.0	today
Trader Memory Coretradermonty/claude-trading-skills	3k	2 repos	~4.3k	Automated safety check: Pass	MIT	3 days ago
Author Migrationnrwl/nx	29k	—	~12k	Automated safety check: Notes	MIT	today
Write Notes Like Deepseekczm15053/write-notes-like-deepseek	497	—	~2k	Automated safety check: Pass	None	2 days ago
OpenRig Upgrade Proceduremvschwarz/openrig	6.2k	—	~2.9k	Automated safety check: Pass	Apache-2.0	today
GreptimeDB Release RunbookGreptimeTeam/greptimedb	6.7k	—	~1.4k	Automated safety check: Pass	Apache-2.0	today

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3k GitHub starsUsed in 2 repos~4.3k tokens
DevOps & CloudAuto-check passed
Author Migration
nrwl/nx
Author or scope a first-party Nx migration. An agent skill from nrwl/nx.
29k GitHub stars~12k tokensUpdated today
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Write Notes Like Deepseek
czm15053/write-notes-like-deepseek
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OpenRig Upgrade Procedure
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DevOps & CloudAuto-check passed
GreptimeDB Release Runbook
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Runbook for publishing a GreptimeDB version: pick the release branch, verify the Cargo version, then tag, create the GitHub release and open the docs note PR.
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Statem
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Questions about Skill Content Postmortem

What does Skill Content Postmortem do?

When should I use Skill Content Postmortem?

Skill Content Postmortem fits situations like: tasks that involve Runbooks and postmortems.

How do I install Skill Content Postmortem in Claude Code?

Run `npx skills add ZJU-REAL/Easel --skill skill-content-postmortem -a claude-code`. Or copy the skill folder (skills/openclaw/skill-content-postmortem in ZJU-REAL/Easel) into .claude/skills/skill-content-postmortem in your project. Claude Code loads it when a task matches its description.

How do I install Skill Content Postmortem in Codex?

Run `npx skills add ZJU-REAL/Easel --skill skill-content-postmortem -a codex`. Or copy the skill folder (skills/openclaw/skill-content-postmortem in ZJU-REAL/Easel) into .agents/skills/skill-content-postmortem in your project. Codex loads it when a task matches its description.

Can I use Skill Content Postmortem in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add ZJU-REAL/Easel --skill skill-content-postmortem -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/skill-content-postmortem, .gemini/skills/skill-content-postmortem, .github/skills/skill-content-postmortem and .opencode/skills/skill-content-postmortem in your project.

What does Skill Content Postmortem need to run?

Going by SKILL.md and its folder, Skill Content Postmortem needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3.

Does Skill Content Postmortem access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Skill Content Postmortem safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Skill Content Postmortem use?

Skill Content Postmortem is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Skill Content Postmortem use?

About 1.1k tokens (SKILL.md is roughly 4.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 485 tokens, read only when the agent opens those files.

What are the alternatives to Skill Content Postmortem?

Skills that share tags, products or a category with Skill Content Postmortem: Trader Memory Core (tradermonty/claude-trading-skills, 3k stars), Author Migration (nrwl/nx, 29k stars), Write Notes Like Deepseek (czm15053/write-notes-like-deepseek, 497 stars) and OpenRig Upgrade Procedure (mvschwarz/openrig, 6.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Skill Content Postmortem?

ZJU-REAL (a GitHub organization) maintains it in ZJU-REAL/Easel, which has 3,310 GitHub stars. The repository holds 113 skills in this directory. The repository was last updated on October 9, 2026.

Source: ZJU-REAL/Easel on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Skill Content Postmortem

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

内容复盘与爆款规律提炼

输入

模式 A — 单条复盘

模式 B — 规律提炼

输出

模式 A — 单条复盘报告

维度评分标尺

模式 B — 规律提炼报告

爆款公式模板

执行步骤

模式 A — 单条复盘

模式 B — 规律提炼

Profile 感知

Files

Compare with similar skills

Similar skills

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Related

Questions about Skill Content Postmortem