Works with Paperclip
How Context Budget fits into a Paperclip company.
Context Budget drops into any Paperclip agent that handles this kind of work. Assign it to a specialist inside a pre-configured PaperclipOrg company and the skill becomes available on every heartbeat — no prompt engineering, no tool wiring.
S
SaaS FactoryPaired
Pre-configured AI company — 18 agents, 18 skills, one-time purchase.
$27$59
Explore packSource file
SKILL.md135 linesExpandCollapse
---name: context-budgetdescription: Audits Claude Code context window consumption across agents, skills, MCP servers, and rules. Identifies bloat, redundant components, and produces prioritized token-savings recommendations.origin: ECC--- # 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-budget` command (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 `description` frontmatter 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 tokensContext 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 tokens2. [action] → save ~X,XXX tokens3. [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-budgetSkill: 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 --verboseSkill: 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 side``` **Pre-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 × 1.3` for prose, `chars / 4` for 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 earlyRelated skills
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