Project Timeline Report
thedotmack/claude-mem
Writes a narrative Journey Into report on a project's whole development history, built from the timeline that claude-mem has recorded.
把需要背的内容变成可提取、可复述、可间隔复习的记忆任务，而不是反复机械朗读. An agent skill from hezkvectory/hermes-edu-skills.
Install Agent Memory Method
$ npx skills add hezkvectory/hermes-edu-skills --skill agent-memory-method -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install hezkvectory/hermes-edu-skills agent-memory-method --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/hezkvectory/hermes-edu-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/learning-core/agent-memory-method .claude/skills/agent-memory-method && rm -rf skills-srcUse ~/.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/
Install the "agent-memory-method" agent skill from https://github.com/hezkvectory/hermes-edu-skills/tree/main/skills/learning-core/agent-memory-method into .claude/skills/agent-memory-method/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-memory-method", 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 install https://github.com/hezkvectory/hermes-edu-skills/tree/main/skills/learning-core/agent-memory-methodType 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.
$ npx skills add hezkvectory/hermes-edu-skills --skill agent-memory-method -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install hezkvectory/hermes-edu-skills agent-memory-method --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hezkvectory/hermes-edu-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/learning-core/agent-memory-method .agents/skills/agent-memory-method && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "agent-memory-method" agent skill from https://github.com/hezkvectory/hermes-edu-skills/tree/main/skills/learning-core/agent-memory-method into .agents/skills/agent-memory-method/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-memory-method", 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.
$ npx skills add hezkvectory/hermes-edu-skills --skill agent-memory-method -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install hezkvectory/hermes-edu-skills agent-memory-method --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hezkvectory/hermes-edu-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/learning-core/agent-memory-method .cursor/skills/agent-memory-method && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "agent-memory-method" agent skill from https://github.com/hezkvectory/hermes-edu-skills/tree/main/skills/learning-core/agent-memory-method into .cursor/skills/agent-memory-method/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-memory-method", 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 https://github.com/hezkvectory/hermes-edu-skills.git --path skills/learning-core/agent-memory-method--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add hezkvectory/hermes-edu-skills --skill agent-memory-method -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install hezkvectory/hermes-edu-skills agent-memory-method --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hezkvectory/hermes-edu-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/learning-core/agent-memory-method .gemini/skills/agent-memory-method && rm -rf skills-srcUse ~/.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/
Install the "agent-memory-method" agent skill from https://github.com/hezkvectory/hermes-edu-skills/tree/main/skills/learning-core/agent-memory-method into .gemini/skills/agent-memory-method/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-memory-method", 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.
$ gh skill install hezkvectory/hermes-edu-skills agent-memory-methodInstalls 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).
$ npx skills add hezkvectory/hermes-edu-skills --skill agent-memory-method -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/hezkvectory/hermes-edu-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/learning-core/agent-memory-method .github/skills/agent-memory-method && rm -rf skills-srcUse ~/.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/
Install the "agent-memory-method" agent skill from https://github.com/hezkvectory/hermes-edu-skills/tree/main/skills/learning-core/agent-memory-method into .github/skills/agent-memory-method/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-memory-method", 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.
$ npx skills add hezkvectory/hermes-edu-skills --skill agent-memory-method -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install hezkvectory/hermes-edu-skills agent-memory-method --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hezkvectory/hermes-edu-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/learning-core/agent-memory-method .opencode/skills/agent-memory-method && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "agent-memory-method" agent skill from https://github.com/hezkvectory/hermes-edu-skills/tree/main/skills/learning-core/agent-memory-method into .opencode/skills/agent-memory-method/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-memory-method", 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
agent-memory-method- GitHub stars
- 106
- Token cost
- ~722 tokens
- SKILL.md length
- 195 words
- Files
- 1
- Skills in repo
- 11
- Repo updated
- First seen
- Licence
- MIT
At a glance
把需要背的内容变成可提取、可复述、可间隔复习的记忆任务，而不是反复机械朗读. An agent skill from hezkvectory/hermes-edu-skills.
- Tasks that involve Agent memory
- SKILL.md covers 这个 Skill 解决什么问题 / Problem, 最适合 / Best For, 不适合 / Not For and 使用前请准备 / Inputs, plus 10 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Agent Memory Method is an agent skill from hezkvectory/hermes-edu-skills. 把需要背的内容变成可提取、可复述、可间隔复习的记忆任务，而不是反复机械朗读。 Workflow: agentmemorymethod.run.
Its SKILL.md is about 720 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Agent Workflows, covering Agent memory. The repository describes itself as: 中文教育 Agent Skill Pack：教材同步、备考复习、拍照答疑、错题复盘、亲子陪学、阅读写作和教师工具，Hermes Agent 可直接使用，也可导出到 OpenClaw/Codex/Cursor/Claude Code。 The licence is MIT.
When your agent uses it
- Tasks that involve Agent memory
Example prompts
- “/agent-memory-method”
What it can do on your machine
Read from SKILL.md and the folder at commit b1c32d7. 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
No scripts in the folder and no shell commands in SKILL.md.
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
Agent Memory Method loads about 722 tokens when it runs. Until then it costs about 23 tokens; SKILL.md has 195 words of instructions outside code blocks.
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); files beside SKILL.md are not scanned.
SKILL.md
The full file from hezkvectory/hermes-edu-skills at commit b1c32d7, republished under its MIT licence (© hezkvectory). 195 words, ~722 tokens.
Download SKILL.mdSave it as
.claude/skills/agent-memory-method/SKILL.md (or your agent's skills folder).- name
- agent-memory-method
- description
- 把需要背的内容变成可提取、可复述、可间隔复习的记忆任务，而不是反复机械朗读。 Workflow: agent_memory_method.run.
- version
- 0.10.0
- author
- zhongwei
- license
- MIT
- platforms
- windows, linux, macos
记忆方法 Skill
把需要背的内容变成可提取、可复述、可间隔复习的记忆任务，而不是反复机械朗读。
这个 Skill 解决什么问题 / Problem
把需要背的内容变成可提取、可复述、可间隔复习的记忆任务，而不是反复机械朗读。
最适合 / Best For
- 古诗课文背诵
- 英语单词
- 公式概念
- 历史地理知识点
不适合 / Not For
- 超大量内容一次性硬背
- 完全不理解内容就要求长期记住
使用前请准备 / Inputs
- 要记忆的文本/词表/知识点
- 年级
- 截止时间
- 已掌握程度
- 容易忘的部分
推荐工作流 / Recommended Workflow
- 压缩成记忆块
- 设计提取线索
- 安排首次背诵和回想
- 生成间隔复习表
- 用小测检查能否独立提取
输出格式 / Output Format
- 记忆块
- 提取问题
- 背诵步骤
- 间隔复习安排
- 自测题
质量检查 / Quality Checks
- 必须包含主动回忆
- 复习间隔要明确
- 不能只给口诀
- 要区分理解和记忆
没有平台工具时 / Standalone Fallback
- 没有记忆工具时，输出可复制的复习卡片。
- 没有历史记录时，从当前材料生成首轮计划。
示例提示 / Example Prompts
- 帮我把这首古诗拆成今晚能背下来的步骤。
- 这些英语单词容易混，帮我做记忆卡和复习计划。
适用场景 / When To Use
当学习者、家长、老师、学校或教育应用开发者需要处理以下场景时，可以使用这个 Skill。
最适合的场景：
- 背诵记忆
适用角色：
- 学习者
- 家长
- 老师
调用信号 / Invocation Signals
意图：
agent_memory_methodlearning_core背诵记忆
示例表达：
- 开始记忆方法 Skill
- 帮我做背诵记忆
- 根据当前上下文执行记忆方法 Skill
公开 Skill 契约 / Public Skill Contract
- Workflow:
agent_memory_method.run - Category:
learning-core - Stages:
primary,junior,senior - Subjects:
学习能力 - Abilities:
记忆 - Quality Tier:
curated - Standalone Support:
needs_user_input - Public Release:
recommended - Requires Tools:
context.load,entitlement.check,workflow.create,memory.write - Requires Data:
学习目标,年级或水平,用户输入的题目/记录/上下文 - Export Mode:
installable - Release Channel:
recommended
成熟度备注：
- 已按精品 Skill 标准补充边界、输入、工作流、输出格式和示例。
参数化使用 / Parameters
这个 Skill 不再把年级、册别、单元、知识点和难度拆成大量独立 Skill。请在调用时通过参数或自然语言补充这些信息。
- Grades:
一年级,二年级,三年级,四年级,五年级,六年级,七年级,八年级,九年级,高一,高二,高三 - Semesters:
上册,下册,上册,下册,必修一,必修二,选择性必修 - Scenarios:
背诵记忆 - Difficulties:
基础,标准,提高 - Parameterized Dimensions:
grade,semester,unit,lesson,knowledgePointCodes,scenario,difficulty
独立 Hermes 使用方式 / Standalone Hermes Usage
这个 Skill 可以通过 Hermes 的 skills.external_dirs 作为外部 Skill 加载。
如果你有自己的工具、记忆、课程数据或 workflow runner，可以把它们与本 Skill 组合使用。如果没有外部工具，也可以直接使用上面的说明来引导对话，生成有用的学习或教学反馈。
© hezkvectory, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in skills/learning-core/agent-memory-method of hezkvectory/hermes-edu-skills.
Open the folder on GitHubat commit b1c32d7
Compare with similar skills
Agent Memory Method 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 | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Agent Memory Method this skillhezkvectory/hermes-edu-skills | 106 | — | ~722 | Automated safety check: Pass | MIT | |
| Project Timeline Reportthedotmack/claude-mem | 97k | 1 repos | ~3.1k | Automated safety check: Pass | Apache-2.0 | |
| Neat-Freak Knowledge CloseoutKKKKhazix/khazix-skills | 21k | — | ~1.9k | Automated safety check: Pass | MIT | |
| Beads Task Memorygastownhall/beads | 28k | — | ~1.2k | Automated safety check: Pass | MIT | |
| MemPalace Memory SearchMemPalace/mempalace | 59k | — | ~1.4k | Automated safety check: Pass | MIT | |
| Reflect on Session Learningscursor/plugins | 10k | 5 repos | ~1.2k | Automated safety check: Pass | None |
Similar skills
Neat-Freak Knowledge Closeout
KKKKhazix/khazix-skills
Brings project docs, agent rule files, authorized memory and leftover workspace files back in line with what the code and runtime actually do at the end of a work session.
Beads Task Memory
gastownhall/beads
Tracks multi-session work with dependencies in the bd issue tracker so the agent can find ready tasks and recover its context after conversation compaction.
MemPalace Memory Search
MemPalace/mempalace
Mines project files and conversation exports into a local, searchable memory palace and recalls past work by semantic search through the mempalace CLI.
- Official
Reflect on Session Learnings
cursor/plugins
Starts three parallel reviewer subagents over the current conversation transcript, then turns their findings into concrete edits to existing skills.
Compound Learning Writer
EveryInc/compound-engineering-plugin
Records one solved and verified problem as a durable learning in the repository, but only when the reasoning is not already clear from the final code, tests or docs.
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Related
Categories
Questions about Agent Memory Method
What does Agent Memory Method do?
把需要背的内容变成可提取、可复述、可间隔复习的记忆任务，而不是反复机械朗读. An agent skill from hezkvectory/hermes-edu-skills. Agent Memory Method is an agent skill from hezkvectory/hermes-edu-skills.run.
When should I use Agent Memory Method?
Agent Memory Method fits situations like: tasks that involve Agent memory.
How do I install Agent Memory Method in Claude Code?
Run `npx skills add hezkvectory/hermes-edu-skills --skill agent-memory-method -a claude-code`. Or copy the skill folder (skills/learning-core/agent-memory-method in hezkvectory/hermes-edu-skills) into .claude/skills/agent-memory-method in your project. Claude Code loads it when a task matches its description.
How do I install Agent Memory Method in Codex?
Run `npx skills add hezkvectory/hermes-edu-skills --skill agent-memory-method -a codex`. Or copy the skill folder (skills/learning-core/agent-memory-method in hezkvectory/hermes-edu-skills) into .agents/skills/agent-memory-method in your project. Codex loads it when a task matches its description.
Can I use Agent Memory Method 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 hezkvectory/hermes-edu-skills --skill agent-memory-method -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/agent-memory-method, .gemini/skills/agent-memory-method, .github/skills/agent-memory-method and .opencode/skills/agent-memory-method in your project.
What does Agent Memory Method need to run?
SKILL.md names no scripts, command-line tools or credentials: Agent Memory Method is instructions for the agent only.
Does Agent Memory Method 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 Agent Memory Method 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. Review the folder before installing.
What licence does Agent Memory Method use?
Agent Memory Method is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Agent Memory Method use?
About 722 tokens (SKILL.md is roughly 2.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Agent Memory Method?
Skills that share tags, products or a category with Agent Memory Method: Project Timeline Report (thedotmack/claude-mem, 97k stars), Neat-Freak Knowledge Closeout (KKKKhazix/khazix-skills, 21k stars), Beads Task Memory (gastownhall/beads, 28k stars) and MemPalace Memory Search (MemPalace/mempalace, 59k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Agent Memory Method?
hezkvectory (a GitHub user) maintains it in hezkvectory/hermes-edu-skills, which has 106 GitHub stars. The repository holds 11 skills in this directory. The repository was last updated on May 21, 2026.
Source: hezkvectory/hermes-edu-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.