context-budget
Skill2 starsChanged 3 months agoMITView on GitHub
Audits Claude Code context window consumption across agents, skills, MCP servers, and rules. Identifies bloat, redundant components, and produces prioritized token-savings recommendations.
We split this skill into the rules it gives an agent
4 rules. 0 are common, 2 are distinctive, and 2 are very specific to this project.
0
Common
Most of the 42 edited versions we read keep these.
2
Distinctive
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 34
Check for duplicate copies in .agents/skills/ — skip identical copies to avoid double-counting
- Very specific: line 132
Token estimation: use words × 1.3 for prose, chars / 4 for code-heavy files
- Distinctive: line 135
Verbose mode for debugging: use when you need to pinpoint the exact files driving overhead, not for regular audits
- Distinctive: line 136
Audit after changes: run after adding any agent, skill, or MCP server to catch creep early
“Common” is measured: kept by at least 6 in 10 of the 42 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Context Budget
Analyze token overhead across every loaded component in a Claude Code session and surface actionable optimizations to reclaim context space.
When to Use
- Session performance feels sluggish or output quality is degrading
- You've recently added many skills, agents, or MCP servers
- You want to know how much context headroom you actually have
- Planning to add more components and need to know if there's room
- Running
/context-budgetcommand (this skill backs it)
How It Works
Phase 1: Inventory
Scan all component directories and estimate token consumption:
Agents (agents/*.md)
- Count lines and tokens per file (words × 1.3)
- Extract
descriptionfrontmatter length - Flag: files >200 lines (heavy), description >30 words (bloated frontmatter)
Skills (skills/*/SKILL.md)
- Count tokens per SKILL.md
- Flag: files >400 lines
- Check for duplicate copies in
.agents/skills/— skip identical copies to avoid double-counting
Rules (rules/**/*.md)
- Count tokens per file
- Flag: files >100 lines
- Detect content overlap between rule files in the same language module
MCP Servers (.mcp.json or active MCP config)
- Count configured servers and total tool count
- Estimate schema overhead at ~500 tokens per tool
- Flag: servers with >20 tools, servers that wrap simple CLI commands (
gh,git,npm,supabase,vercel)
CLAUDE.md (project + user-level)
- Count tokens per file in the CLAUDE.md chain
- Flag: combined total >300 lines
Phase 2: Classify
Sort every component into a bucket:
| Bucket | Criteria | Action |
| Always needed | Referenced in CLAUDE.md, backs an active command, or matches current project type | Keep |
| Sometimes needed | Domain-specific (e.g. language patterns), not referenced in CLAUDE.md | Consider on-demand activation |
| Rarely needed | No command reference, overlapping content, or no obvious project match | Remove or lazy-load |
Phase 3: Detect Issues
Identify the following problem patterns:
- Bloated agent descriptions — description >30 words in frontmatter loads into every Task tool invocation
- Heavy agents — files >200 lines inflate Task tool context on every spawn
- Redundant components — skills that duplicate agent logic, rules that duplicate CLAUDE.md
- MCP over-subscription — >10 servers, or servers wrapping CLI tools available for free
- CLAUDE.md bloat — verbose explanations, outdated sections, instructions that should be rules
Phase 4: Report
Produce the context budget report:
Context Budget Report
═══════════════════════════════════════
Total estimated overhead: ~XX,XXX tokens
Context model: Claude Sonnet (200K window)
Effective available context: ~XXX,XXX tokens (XX%)
Component Breakdown:
┌─────────────────┬────────┬───────────┐
│ Component │ Count │ Tokens │
├─────────────────┼────────┼───────────┤
│ Agents │ N │ ~X,XXX │
│ Skills │ N │ ~X,XXX │
│ Rules │ N │ ~X,XXX │
│ MCP tools │ N │ ~XX,XXX │
│ CLAUDE.md │ N │ ~X,XXX │
└─────────────────┴────────┴───────────┘
WARNING: Issues Found (N):
[ranked by token savings]
Top 3 Optimizations:
1. [action] → save ~X,XXX tokens
2. [action] → save ~X,XXX tokens
3. [action] → save ~X,XXX tokens
Potential savings: ~XX,XXX tokens (XX% of current overhead)In verbose mode, additionally output per-file token counts, line-by-line breakdown of the heaviest files, specific redundant lines between overlapping components, and MCP tool list with per-tool schema size estimates.
Examples
Basic audit
User: /context-budget
Skill: Scans setup → 16 agents (12,400 tokens), 28 skills (6,200), 87 MCP tools (43,500), 2 CLAUDE.md (1,200)
Flags: 3 heavy agents, 14 MCP servers (3 CLI-replaceable)
Top saving: remove 3 MCP servers → -27,500 tokens (47% overhead reduction)Verbose mode
User: /context-budget --verbose
Skill: Full report + per-file breakdown showing planner.md (213 lines, 1,840 tokens),
MCP tool list with per-tool sizes, duplicated rule lines side by sidePre-expansion check
User: I want to add 5 more MCP servers, do I have room?
Skill: Current overhead 33% → adding 5 servers (~50 tools) would add ~25,000 tokens → pushes to 45% overhead
Recommendation: remove 2 CLI-replaceable servers first to stay under 40%Best Practices
- Token estimation: use
words × 1.3for prose,chars / 4for code-heavy files - MCP is the biggest lever: each tool schema costs ~500 tokens; a 30-tool server costs more than all your skills combined
- Agent descriptions are loaded always: even if the agent is never invoked, its description field is present in every Task tool context
- Verbose mode for debugging: use when you need to pinpoint the exact files driving overhead, not for regular audits
- Audit after changes: run after adding any agent, skill, or MCP server to catch creep early
Other versions49 projects use a version of this.
Word for word · 3
- SkotAlexsander/skills★ 1100% same
- Lucioway/way-stack★ 0100% same
- renepf/claude-skills★ 0100% same
Edited · 17
- misskey-dev/misskey★ 11k13% same
- loulanyue/awesome-claude-notes★ 27299% same
- Fmarzochi/EGC★ 6191% same
- woxiangyangzhimao/skills★ 1496% same
- gongyijie85/dsh-ecc★ 896% same
- VoVuongThanhDat/agentflow★ 899% same
- airshell/ai-optimizer★ 233% same
- get-proofpilot/claude-skills-catalog★ 199% same
- NISTALTALSON/essential-claude-skills★ 196% same
- SamuelNDCE/claude-super-skill-library★ 199% same
7 more not listed
Wrote their own version · 29
- poshan0126/dotclaude★ 871same name
- OneWave-AI/claude-skills★ 378same name
- felvieira/claude-skills-fv★ 27same name
- tellmefrankie/ai-investment-skills★ 14same name
- TheyanzXD/opencode-telegram-gateway★ 9same name
- mxrsv/agents-skills★ 8same name
- Fadi88/one-man-startup★ 7same name
- Univers42/claude-deal-with-the-devil★ 4same name
- Univers42/harness42★ 4same name
- hahuyhungdev/ai-coding-config★ 3same name
19 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
Used alongsideProjects with it also use agent-payment-x402, nuxt4-patterns and 10 more.
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In this repository20 other files it gives its agents.
- CLAUDE.mdCLAUDE.md
- vault-template/CLAUDE.mdCLAUDE.md
- agent-reachSkill
- arbeitsroutineSkill
- claude-apiSkill
- cleanupSkill
- competitor-analysisSkill
- councilSkill
- erklaer-mirSkill
- find-skillsSkill
- llm-councilSkill
- mcp-builderSkill
- session-uebergabeSkill
- skill-creatorSkill
- summarizeSkill
- task-roadmapSkill
- tiefe-rechercheSkill
- vault-exportSkill
- vault-health-abarbeitenSkill
- vault-notizSkill
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
Reviews can't be read right now.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

