Artifact Type Tailored Context
closedloop-ai/claude-plugins
Compresses artifacts for judge evaluation. An agent skill from closedloop-ai/claude-plugins.
This skill should be used when creating conversation summaries for CodeMemory, discussing summarization quality, optimizing DAG structure, or working with the compaction system.
Install Codememory Summarization Skill
$ npx skills add harrylettering/CodeMemory --skill codememory-summarization-skill -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install harrylettering/CodeMemory codememory-summarization-skill --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/harrylettering/CodeMemory.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/codememory-summarization-skill .claude/skills/codememory-summarization-skill && 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 "codememory-summarization-skill" agent skill from https://github.com/harrylettering/CodeMemory/tree/main/skills/codememory-summarization-skill into .claude/skills/codememory-summarization-skill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "codememory-summarization-skill", 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/harrylettering/CodeMemory/tree/main/skills/codememory-summarization-skillType 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 harrylettering/CodeMemory --skill codememory-summarization-skill -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install harrylettering/CodeMemory codememory-summarization-skill --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/harrylettering/CodeMemory.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/codememory-summarization-skill .agents/skills/codememory-summarization-skill && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "codememory-summarization-skill" agent skill from https://github.com/harrylettering/CodeMemory/tree/main/skills/codememory-summarization-skill into .agents/skills/codememory-summarization-skill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "codememory-summarization-skill", 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 harrylettering/CodeMemory --skill codememory-summarization-skill -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install harrylettering/CodeMemory codememory-summarization-skill --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/harrylettering/CodeMemory.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/codememory-summarization-skill .cursor/skills/codememory-summarization-skill && 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 "codememory-summarization-skill" agent skill from https://github.com/harrylettering/CodeMemory/tree/main/skills/codememory-summarization-skill into .cursor/skills/codememory-summarization-skill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "codememory-summarization-skill", 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/harrylettering/CodeMemory.git --path skills/codememory-summarization-skill--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 harrylettering/CodeMemory --skill codememory-summarization-skill -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install harrylettering/CodeMemory codememory-summarization-skill --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/harrylettering/CodeMemory.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/codememory-summarization-skill .gemini/skills/codememory-summarization-skill && 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 "codememory-summarization-skill" agent skill from https://github.com/harrylettering/CodeMemory/tree/main/skills/codememory-summarization-skill into .gemini/skills/codememory-summarization-skill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "codememory-summarization-skill", 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 harrylettering/CodeMemory codememory-summarization-skillInstalls 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 harrylettering/CodeMemory --skill codememory-summarization-skill -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/harrylettering/CodeMemory.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/codememory-summarization-skill .github/skills/codememory-summarization-skill && 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 "codememory-summarization-skill" agent skill from https://github.com/harrylettering/CodeMemory/tree/main/skills/codememory-summarization-skill into .github/skills/codememory-summarization-skill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "codememory-summarization-skill", 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 harrylettering/CodeMemory --skill codememory-summarization-skill -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install harrylettering/CodeMemory codememory-summarization-skill --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/harrylettering/CodeMemory.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/codememory-summarization-skill .opencode/skills/codememory-summarization-skill && 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 "codememory-summarization-skill" agent skill from https://github.com/harrylettering/CodeMemory/tree/main/skills/codememory-summarization-skill into .opencode/skills/codememory-summarization-skill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "codememory-summarization-skill", 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
codememory-summarization-skill- GitHub stars
- 158
- Token cost
- ~788 tokens
- SKILL.md length
- 251 words
- Files
- 1
- Skills in repo
- 5
- Repo updated
- First seen
- Licence
- None found
At a glance
This skill should be used when creating conversation summaries for CodeMemory, discussing summarization quality, optimizing DAG structure, or working with the compaction system.
- Works in 7 steps: Key Decisions: Any decisions made, with… → Action Items: Tasks assigned, with… → Technical Details: Architecture choices,… → …
- Tasks that involve Summarization
- SKILL.md covers When This Skill Applies, Summary Quality Guidelines, Leaf Summary Guidelines and Condensed Summary Guidelines, plus 2 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Codememory Summarization Skill is an agent skill from harrylettering/CodeMemory. This skill should be used when creating conversation summaries for CodeMemory, discussing summarization quality, optimizing DAG structure, or working with the compaction system. Provides guidelines for creating high-quality summaries that preserve all important information while fitting within token budgets.
Its SKILL.md is about 790 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 Writing & Content, covering Summarization and LLM cost and token optimization. The repository describes itself as: A memory layer for Claude Code.
When your agent uses it
- Tasks that involve Summarization
- Tasks that involve LLM cost and token optimization
Example prompts
- “/codememory-summarization-skill”
Workflow steps
7 steps, taken from the first numbered list in SKILL.md.
- Key Decisions: Any decisions made, with rationale
- Action Items: Tasks assigned, with owners and deadlines
- Technical Details: Architecture choices, API designs, schema changes
- Problem Statements: What issues were being addressed
- Alternatives Considered: Options that were rejected and why
- Ambiguities Resolved: Questions that were clarified
- User Preferences: Stated preferences that affect future work
What it can do on your machine
Read from SKILL.md and the folder at commit b7e96f7. 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 (its code samples are markdown).
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
Codememory Summarization Skill loads about 788 tokens when it runs. Until then it costs about 85 tokens; SKILL.md has 251 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
Without a licence we can't republish the file, so here is its outline and opening line. It has 251 words (~788 tokens).
“Guidelines for creating high-quality conversation summaries in CodeMemory's DAG structure.”
- name
- codememory-summarization-skill
- version
- 0.1.0
Files
Just SKILL.md in skills/codememory-summarization-skill of harrylettering/CodeMemory.
Open the folder on GitHubat commit b7e96f7
Compare with similar skills
Codememory Summarization Skill 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 |
|---|---|---|---|---|---|---|
| Codememory Summarization Skill this skillharrylettering/CodeMemory | 158 | — | ~788 | Automated safety check: Pass | None | |
| Artifact Type Tailored Contextclosedloop-ai/claude-plugins | 122 | — | ~2.1k | Automated safety check: Notes | Apache-2.0 | |
| Context Compressionguanyang/open-agent-hub | 975 | 2 repos | ~4.6k | Automated safety check: Pass | MIT | |
| News Aggregator Skillcclank/news-aggregator-skill | 1.3k | — | ~2.1k | Automated safety check: Pass | None | |
| Vss Search ArchiveNVIDIA-AI-Blueprints/video-search-and-summarization | 1.9k | — | ~3.6k | Automated safety check: Pass | Apache-2.0 | |
| AI Daily Newsgeekjourneyx/ai-daily-skill | 235 | — | ~2.3k | Automated safety check: Pass | None |
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Vss Search Archive
NVIDIA-AI-Blueprints/video-search-and-summarization
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More from harrylettering/CodeMemory
Codememory Context Skill
harrylettering/CodeMemory
This skill should be used when the user asks questions about past conversations, wants to recall previous discussions, references "earlier", "before", "previous", "what did we say", "remember when"…
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Codememory Mark Decision
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Codememory Mark Task
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Related
Categories
Questions about Codememory Summarization Skill
What does Codememory Summarization Skill do?
This skill should be used when creating conversation summaries for CodeMemory, discussing summarization quality, optimizing DAG structure, or working with the compaction system. Codememory Summarization Skill is an agent skill from harrylettering/CodeMemory. This skill should be used when creating conversation summaries for CodeMemory, discussing summarization quality, optimizing DAG structure, or working with the compaction system.
When should I use Codememory Summarization Skill?
Codememory Summarization Skill fits situations like: tasks that involve Summarization; tasks that involve LLM cost and token optimization.
How do I install Codememory Summarization Skill in Claude Code?
Run `npx skills add harrylettering/CodeMemory --skill codememory-summarization-skill -a claude-code`. Or copy the skill folder (skills/codememory-summarization-skill in harrylettering/CodeMemory) into .claude/skills/codememory-summarization-skill in your project. Claude Code loads it when a task matches its description.
How do I install Codememory Summarization Skill in Codex?
Run `npx skills add harrylettering/CodeMemory --skill codememory-summarization-skill -a codex`. Or copy the skill folder (skills/codememory-summarization-skill in harrylettering/CodeMemory) into .agents/skills/codememory-summarization-skill in your project. Codex loads it when a task matches its description.
Can I use Codememory Summarization Skill 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 harrylettering/CodeMemory --skill codememory-summarization-skill -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/codememory-summarization-skill, .gemini/skills/codememory-summarization-skill, .github/skills/codememory-summarization-skill and .opencode/skills/codememory-summarization-skill in your project.
What does Codememory Summarization Skill need to run?
SKILL.md names no scripts, command-line tools or credentials: Codememory Summarization Skill is instructions for the agent only.
Does Codememory Summarization Skill 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 Codememory Summarization Skill 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 Codememory Summarization Skill use?
No licence was found for Codememory Summarization Skill or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Codememory Summarization Skill use?
About 788 tokens (SKILL.md is roughly 3.2k 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 Codememory Summarization Skill?
Skills that share tags, products or a category with Codememory Summarization Skill: Artifact Type Tailored Context (closedloop-ai/claude-plugins, 122 stars), Context Compression (guanyang/open-agent-hub, 975 stars), News Aggregator Skill (cclank/news-aggregator-skill, 1.3k stars) and Vss Search Archive (NVIDIA-AI-Blueprints/video-search-and-summarization, 1.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Codememory Summarization Skill?
harrylettering (a GitHub user) maintains it in harrylettering/CodeMemory, which has 158 GitHub stars. The repository holds 5 skills in this directory. The repository was last updated on October 5, 2026.
Source: harrylettering/CodeMemory on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.