Workflow Schema Tuning
breaking-brake/cc-wf-studio
Guides edits to cc-wf-studio's workflow schema so AI agents generate better workflows, treating schema text as prompt engineering rather than validation.
Audit the fixed context overhead every session starts with — system prompt, MCP tools, agents, CLAUDE.md, memory — measured from real transcript usage
Install Cco Overhead
$ npx skills add egorfedorov/claude-context-optimizer --skill cco-overhead -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install egorfedorov/claude-context-optimizer cco-overhead --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/egorfedorov/claude-context-optimizer.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/cco-overhead .claude/skills/cco-overhead && 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 "cco-overhead" agent skill from https://github.com/egorfedorov/claude-context-optimizer/tree/main/skills/cco-overhead into .claude/skills/cco-overhead/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cco-overhead", 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/egorfedorov/claude-context-optimizer/tree/main/skills/cco-overheadType 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 egorfedorov/claude-context-optimizer --skill cco-overhead -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install egorfedorov/claude-context-optimizer cco-overhead --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/egorfedorov/claude-context-optimizer.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/cco-overhead .agents/skills/cco-overhead && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "cco-overhead" agent skill from https://github.com/egorfedorov/claude-context-optimizer/tree/main/skills/cco-overhead into .agents/skills/cco-overhead/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cco-overhead", 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 egorfedorov/claude-context-optimizer --skill cco-overhead -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install egorfedorov/claude-context-optimizer cco-overhead --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/egorfedorov/claude-context-optimizer.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/cco-overhead .cursor/skills/cco-overhead && 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 "cco-overhead" agent skill from https://github.com/egorfedorov/claude-context-optimizer/tree/main/skills/cco-overhead into .cursor/skills/cco-overhead/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cco-overhead", 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/egorfedorov/claude-context-optimizer.git --path skills/cco-overhead--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 egorfedorov/claude-context-optimizer --skill cco-overhead -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install egorfedorov/claude-context-optimizer cco-overhead --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/egorfedorov/claude-context-optimizer.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/cco-overhead .gemini/skills/cco-overhead && 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 "cco-overhead" agent skill from https://github.com/egorfedorov/claude-context-optimizer/tree/main/skills/cco-overhead into .gemini/skills/cco-overhead/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cco-overhead", 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 egorfedorov/claude-context-optimizer cco-overheadInstalls 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 egorfedorov/claude-context-optimizer --skill cco-overhead -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/egorfedorov/claude-context-optimizer.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/cco-overhead .github/skills/cco-overhead && 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 "cco-overhead" agent skill from https://github.com/egorfedorov/claude-context-optimizer/tree/main/skills/cco-overhead into .github/skills/cco-overhead/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cco-overhead", 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 egorfedorov/claude-context-optimizer --skill cco-overhead -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install egorfedorov/claude-context-optimizer cco-overhead --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/egorfedorov/claude-context-optimizer.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/cco-overhead .opencode/skills/cco-overhead && 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 "cco-overhead" agent skill from https://github.com/egorfedorov/claude-context-optimizer/tree/main/skills/cco-overhead into .opencode/skills/cco-overhead/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cco-overhead", 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
cco-overhead- GitHub stars
- 114
- Token cost
- ~606 tokens
- SKILL.md length
- 310 words
- Files
- 1
- Skills in repo
- 13
- Repo updated
- First seen
- Licence
- MIT
At a glance
Audit the fixed context overhead every session starts with — system prompt, MCP tools, agents, CLAUDE.md, memory — measured from real transcript usage
- Works in 4 steps: Baseline — exact context size at the… → Cost per session — what that baseline… → Itemization — the locally measurable… → …
- Tasks that involve Prompt engineering
- Calls node and claude
- Tasks that involve MCP servers
What it does
Cco Overhead is an agent skill from egorfedorov/claude-context-optimizer. Audit the fixed context overhead every session starts with — system prompt, MCP tools, agents, CLAUDE.md, memory — measured from real transcript usage
Its SKILL.md is about 610 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 Prompt engineering, MCP servers and Agent instruction files. It works with Model Context Protocol. The repository describes itself as: Claude Code plugin that tracks token usage, identifies wasted context, and saves 30-50% on API costs. Heatmaps, ROI reports, budget alerts, efficiency scores, git-aware… The licence is MIT.
When your agent uses it
- Tasks that involve Prompt engineering
- Tasks that involve MCP servers
- Tasks that involve Agent instruction files
Example prompts
- “/cco-overhead”
Requirements
- Pre-approved tools (allowed-tools): Bash(node ${CLAUDE_PLUGIN_ROOT}/src/overhead.js:*), Read
Workflow steps
4 steps, taken from the first numbered list in SKILL.md.
- Baseline — exact context size at the first assistant response (from the
- Cost per session — what that baseline costs to write into the prompt
- Itemization — the locally measurable parts (project + global CLAUDE.md,
- Recommendations — what to trim and how (e.g. /cco-claudemd, disabling
What it can do on your machine
Read from SKILL.md and the folder at commit f6f20ee. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves these tools, so the agent can use them without asking each time:
Bash(node ${CLAUDE_PLUGIN_ROOT}/src/overhead.js:*)Read
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
nodeclaude
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
Cco Overhead loads about 606 tokens when it runs. Until then it costs about 41 tokens; SKILL.md has 310 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 egorfedorov/claude-context-optimizer at commit f6f20ee, republished under its MIT licence (© egorfedorov). 310 words, ~606 tokens.
Download SKILL.mdSave it as
.claude/skills/cco-overhead/SKILL.md (or your agent's skills folder).- name
- cco-overhead
- description
- Audit the fixed context overhead every session starts with — system prompt, MCP tools, agents, CLAUDE.md, memory — measured from real transcript usage
- allowed-tools
- Bash(node ${CLAUDE_PLUGIN_ROOT}/src/overhead.js:*), Read
- license
- MIT
Session Baseline Overhead Audit
Measure how many tokens every session of this project pays BEFORE any work happens — and where to cut.
Run:
node ${CLAUDE_PLUGIN_ROOT}/src/overhead.jsThe report shows:
- Baseline — exact context size at the first assistant response (from the session transcript's API usage counts), latest and averaged over recent sessions, as a % of the working budget.
- Cost per session — what that baseline costs to write into the prompt cache each session.
- Itemization — the locally measurable parts (project + global CLAUDE.md, memory index, agent definitions) and the unattributed remainder (system prompt, tool schemas, MCP servers).
- Recommendations — what to trim and how (e.g.
/cco-claudemd, disabling unused MCP servers, pruning agent descriptions).
Then run the MCP usage audit — it turns 30 days of tracked tool calls into per-server verdicts and the EXACT removal command for servers that were never called:
node ${CLAUDE_PLUGIN_ROOT}/src/overhead.js mcp --servers <name1>,<name2>Pass the MCP server names from your own tool list (mcp__<server>__*, one entry
per server). The script never reads ~/.claude.json — it holds account data —
so it only knows the servers you pass plus the project's ./.mcp.json.
Only if the report actually prints claude mcp remove ... commands, OFFER to
run them for the user (each removal repays in every future session; claude mcp add restores any time). Only run them after the user agrees.
If a server is listed as ? not observed, the tracker has no MCP data yet —
that is not a verdict. Never suggest removing those servers, and never
construct a claude mcp remove command the report did not print.
Present the output to the user as-is (it is already formatted). If the report says no transcripts were found, explain that the audit needs at least one completed exchange in a session for this project.
Key framing for the user: baseline overhead is paid in EVERY session, so a one-time trim repays itself continuously — it is usually the highest-leverage optimization available.
© egorfedorov, 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/cco-overhead of egorfedorov/claude-context-optimizer.
Open the folder on GitHubat commit f6f20ee
Compare with similar skills
Cco Overhead 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 |
|---|---|---|---|---|---|---|
| Cco Overhead this skillegorfedorov/claude-context-optimizer | 114 | — | ~606 | Automated safety check: Pass | MIT | |
| Workflow Schema Tuningbreaking-brake/cc-wf-studio | 5.4k | — | ~1.3k | Automated safety check: Pass | Custom licence | |
| Clawmemyoloshii/ClawMem | 210 | — | ~7.5k | Automated safety check: Pass | MIT | |
| AI Bomcdxgen/cdxgen | 1.1k | — | ~2.5k | Automated safety check: Pass | Apache-2.0 | |
| Add Promptcyanheads/pubmed-mcp-server | 158 | — | ~1.6k | Automated safety check: Pass | Apache-2.0 | |
| MCP Developmentrohitg00/awesome-claude-code-toolkit | 2.7k | — | ~1.2k | Automated safety check: Pass | Apache-2.0 |
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View and tune CCO's behavior thresholds — re-read warnings, cache staleness, prompt-coach length bands, and the /cco-pack budget cap
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Share learned file patterns across a team — export an anonymized digest of what's usually waste/useful/co-edited, and import a teammate's so a fresh clone benefits day one
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Related
Works with
Categories
Questions about Cco Overhead
What does Cco Overhead do?
Audit the fixed context overhead every session starts with — system prompt, MCP tools, agents, CLAUDE.md, memory — measured from real transcript usage. Cco Overhead is an agent skill from egorfedorov/claude-context-optimizer.
When should I use Cco Overhead?
Cco Overhead fits situations like: tasks that involve Prompt engineering; tasks that involve MCP servers; tasks that involve Agent instruction files.
How do I install Cco Overhead in Claude Code?
Run `npx skills add egorfedorov/claude-context-optimizer --skill cco-overhead -a claude-code`. Or copy the skill folder (skills/cco-overhead in egorfedorov/claude-context-optimizer) into .claude/skills/cco-overhead in your project. Claude Code loads it when a task matches its description.
How do I install Cco Overhead in Codex?
Run `npx skills add egorfedorov/claude-context-optimizer --skill cco-overhead -a codex`. Or copy the skill folder (skills/cco-overhead in egorfedorov/claude-context-optimizer) into .agents/skills/cco-overhead in your project. Codex loads it when a task matches its description.
Can I use Cco Overhead 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 egorfedorov/claude-context-optimizer --skill cco-overhead -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/cco-overhead, .gemini/skills/cco-overhead, .github/skills/cco-overhead and .opencode/skills/cco-overhead in your project.
What does Cco Overhead need to run?
Going by SKILL.md and its folder, Cco Overhead needs the command-line tools its instructions call (node and claude). Its frontmatter pre-approves these tools: Bash(node ${CLAUDE_PLUGIN_ROOT}/src/overhead.js:*), Read.
Does Cco Overhead 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 Cco Overhead 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 Cco Overhead use?
Cco Overhead 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 Cco Overhead use?
About 606 tokens (SKILL.md is roughly 2.4k 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 Cco Overhead?
Skills that share tags, products or a category with Cco Overhead: Workflow Schema Tuning (breaking-brake/cc-wf-studio, 5.4k stars), Clawmem (yoloshii/ClawMem, 210 stars), AI Bom (cdxgen/cdxgen, 1.1k stars) and Add Prompt (cyanheads/pubmed-mcp-server, 158 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Cco Overhead?
egorfedorov (a GitHub user) maintains it in egorfedorov/claude-context-optimizer, which has 114 GitHub stars. The repository holds 13 skills in this directory. The repository was last updated on September 30, 2026.
Source: egorfedorov/claude-context-optimizer on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.