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https://github.com/affaan-m/everything-claude-code.git
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fix(skills): harden token budget advisor skill
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@@ -1,6 +1,6 @@
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# Everything Claude Code (ECC) — Agent Instructions
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This is a **production-ready AI coding plugin** providing 28 specialized agents, 125 skills, 60 commands, and automated hook workflows for software development.
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This is a **production-ready AI coding plugin** providing 29 specialized agents, 133 skills, 60 commands, and automated hook workflows for software development.
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**Version:** 1.9.0
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@@ -141,7 +141,7 @@ Troubleshoot failures: check test isolation → verify mocks → fix implementat
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## Project Structure
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```
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agents/ — 28 specialized subagents
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agents/ — 29 specialized subagents
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skills/ — 125 workflow skills and domain knowledge
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commands/ — 60 slash commands
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hooks/ — Trigger-based automations
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@@ -212,7 +212,7 @@ For manual install instructions see the README in the `rules/` folder.
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/plugin list everything-claude-code@everything-claude-code
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```
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✨ **That's it!** You now have access to 28 agents, 125 skills, and 60 commands.
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✨ **That's it!** You now have access to 29 agents, 133 skills, and 60 commands.
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---
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@@ -273,7 +273,7 @@ everything-claude-code/
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| |-- plugin.json # Plugin metadata and component paths
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| |-- marketplace.json # Marketplace catalog for /plugin marketplace add
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|
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|-- agents/ # 28 specialized subagents for delegation
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|-- agents/ # 29 specialized subagents for delegation
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| |-- planner.md # Feature implementation planning
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| |-- architect.md # System design decisions
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| |-- tdd-guide.md # Test-driven development
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@@ -1085,7 +1085,7 @@ The configuration is automatically detected from `.opencode/opencode.json`.
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|---------|-------------|----------|--------|
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| Agents | ✅ 28 agents | ✅ 12 agents | **Claude Code leads** |
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| Commands | ✅ 60 commands | ✅ 31 commands | **Claude Code leads** |
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| Skills | ✅ 125 skills | ✅ 37 skills | **Claude Code leads** |
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| Skills | ✅ 133 skills | ✅ 37 skills | **Claude Code leads** |
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| Hooks | ✅ 8 event types | ✅ 11 events | **OpenCode has more!** |
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| Rules | ✅ 29 rules | ✅ 13 instructions | **Claude Code leads** |
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| MCP Servers | ✅ 14 servers | ✅ Full | **Full parity** |
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@@ -407,6 +407,7 @@
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"skills/ralphinho-rfc-pipeline",
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"skills/regex-vs-llm-structured-text",
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"skills/search-first",
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"skills/token-budget-advisor",
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"skills/team-builder"
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],
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"targets": [
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@@ -5,10 +5,13 @@ description: >-
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how much depth/tokens to consume — BEFORE responding. Use this skill
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when the user wants to control token consumption, adjust response depth,
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choose between short/long answers, or optimize their prompt.
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TRIGGER when: "token budget", "token count", "token usage", "token limit",
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TRIGGER when: "token budget", "response token budget", "token count",
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"token usage", "response length", "response depth", "brief answer",
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"short answer", "detailed answer", "full answer",
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"respuesta corta vs larga", "cuántos tokens", "ahorrar tokens",
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"responde al 50%", "dame la versión corta", "quiero controlar cuánto usas",
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"75%", "100%", "at 25%", "at 50%", "at 75%", "at 100%", "exhaustive", or any variant where the user wants
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"75%", "100%", "at 25%", "at 50%", "at 75%", "at 100%",
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"give me the full answer", or any variant where the user wants
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to control length, depth, or token usage — even without mentioning tokens.
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DO NOT TRIGGER when: user has already specified a level in the current
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session (maintain it) or the request is clearly a one-word answer.
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@@ -28,25 +31,16 @@ Intercept the response flow to offer the user a choice about response depth **be
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**Do not trigger** when: user already set a level this session (maintain it silently), or the answer is trivially one line.
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## Workflow
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## How It Works
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### Step 1 — Estimate input tokens
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Use the calibration tables below to estimate the prompt's token count mentally.
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Use the repository's canonical estimation guidance from `skills/context-budget`.
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**Chars-per-token by content type:**
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- Prose-first prompts: `input_tokens ≈ word_count × 1.3`
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- Code-heavy or mixed prompts: `input_tokens ≈ char_count / 4`
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| Content type | Chars / Token |
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|-------------------|---------------|
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| English natural | ~4.0 |
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| Spanish natural | ~3.5 |
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| Code | ~3.0 |
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| JSON | ~2.8 |
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| Markdown | ~3.3 |
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Formula: `input_tokens ≈ char_count / chars_per_token`
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For mixed content, use the dominant type's ratio.
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For mixed content, prefer the code-heavy estimate as the conservative default.
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### Step 2 — Estimate response size by complexity
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@@ -104,10 +98,10 @@ If the user already signals a level, respond at that level immediately without a
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| What they say | Level |
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|----------------------------------------------------|-------|
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| "25%" / "short" / "brief" / "tldr" / "one-liner" | 25% |
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| "50%" / "moderate" / "normal" | 50% |
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| "75%" / "detailed" / "thorough" / "complete" | 75% |
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| "100%" / "exhaustive" / "everything" / "full" | 100% |
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| "1" / "25%" / "short answer" / "brief" / "tldr" / "one-liner" | 25% |
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| "2" / "50%" / "moderate detail" / "balanced answer" | 50% |
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| "3" / "75%" / "detailed answer" / "thorough explanation" | 75% |
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| "4" / "100%" / "exhaustive" / "everything" / "full answer" | 100% |
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If the user set a level earlier in the session, **maintain it silently** for subsequent responses unless they change it.
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@@ -115,7 +109,23 @@ If the user set a level earlier in the session, **maintain it silently** for sub
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This skill uses heuristic estimation — no real tokenizer. Accuracy ~85-90%, variance ±15%. Always show the disclaimer.
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## Examples
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### Triggers
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- "Give me the brief answer first."
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- "How many tokens will your response use?"
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- "Respond at 50% depth."
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- "I want the full answer."
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- "Dame la version corta."
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### Does Not Trigger
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- "Explain OAuth token refresh flow." (`token` here is domain language, not a budget request)
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- "Why is this JWT token invalid?" (security/domain usage, not response sizing)
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- "What is 2 + 2?" (trivially short answer)
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## Source
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Standalone skill from [TBA — Token Budget Advisor for Claude Code](https://github.com/Xabilimon1/Token-Budget-Advisor-Claude-Code-).
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Full version includes a Python estimator script for exact counts: `npx token-budget-advisor`.
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The upstream project includes an optional estimator script, but this ECC skill intentionally stays zero-dependency and heuristic-only.
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