context-budget
Skill378 starsChanged 52 days agoMITView on GitHub
Use when a coding session is burning context fast, output is drowning in noise, the model keeps forgetting earlier decisions, or the user asks to reduce tokens, stop the verbose narration, work in a huge repo, or make a long session survive. Covers what to read, what to summarize, what to write to disk, and when to start fresh.
- Installs packages
54 other projects use a version of this.
Adopted by
Most recently taken up by
- Rojios/everything-claude-codetheir own version, first seen Nov 8, 2026
- cveralyon/axel-setuptheir own version, first seen Nov 8, 2026
- ahmadvahidi/skill-atlastheir own version, first seen Nov 8, 2026
- zedarvates/frugal-skillstheir own version, first seen Nov 8, 2026
- pankaj-mahaur/Agent-Daemontheir own version, first seen Nov 6, 2026
- coco-research/cocotheir own version, first seen Nov 1, 2026
Used with
Projects with it also use agent-payment-x402, openclaw-persona-forge and 10 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
TironFoxSkillagent-payment-x402
Add x402 payment execution to AI agents — per-task budgets, spending controls, and non-custodial wallets via MCP tools. Use when agents need to pay for APIs, services, or other agents.
Also in 6 projects that use this
TironFoxSkillopenclaw-persona-forge
为 OpenClaw AI Agent 锻造完整的龙虾灵魂方案。根据用户偏好或随机抽卡, 输出身份定位、灵魂描述(SOUL.md)、角色化底线规则、名字和头像生图提示词。 如当前环境提供已审核的生图 skill,可自动生成统一风格头像图片。 当用户需要创建、设计或定制 OpenClaw 龙虾灵魂时使用。 不适用于:微调已有 SOUL.md、非 OpenClaw 平台的角色设计、纯工具型无性格 Agent。 触发词:龙虾灵魂、虾魂、OpenClaw 灵魂、养虾灵魂、龙虾角色、龙虾定位、 龙虾剧本杀角色、龙虾游戏角色、龙虾 NPC、龙虾性格、龙虾背景故事、 lobster soul、lobster character、抽卡、随机龙虾、龙虾 SOUL、gacha。
Also in 5 projects that use this
loulanyueSkillnuxt4-patterns
Nuxt 4 app patterns for hydration safety, performance, route rules, lazy loading, and SSR-safe data fetching with useFetch and useAsyncData.
Also in 9 projects that use this
renepfSkillorch-pipeline
Shared orchestration engine for the orch-* skill family. Defines the gated Research-Plan-TDD-Review-Commit pipeline, the size classifier, the agent map, and the two human gates that the orch-* operation skills delegate to. Not usually invoked directly.
Also in 4 projects that use this
Exploration-labsSkilltoken-budget-advisor
Proactive token budget assessment and task chunking strategy. Use this skill when queries involve multiple large file uploads, requests for comprehensive multi-document analysis, complex multi-step workflows with heavy research (10+ tool calls), phrases like "complete analysis", "full audit", "thorough review", "deep dive", or tasks combining extensive research with large output artifacts. This skill helps assess token consumption risk early and recommend chunking strategies before beginning work.
Also in 11 projects that use this
loulanyueSkillsanta-method
Multi-agent adversarial verification with convergence loop. Two independent review agents must both pass before output ships.
Also in 8 projects that use this
Other versions54 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 54
- misskey-dev/misskey★ 11ksame name
- poshan0126/dotclaude★ 871same name
- coco-research/coco★ 797same name
- loulanyue/awesome-claude-notes★ 272same name
- Fmarzochi/EGC★ 61same name
- felvieira/claude-skills-fv★ 27same name
- Fadi88/one-man-startup★ 16same name
- tellmefrankie/ai-investment-skills★ 14same name
- woxiangyangzhimao/skills★ 14same name
- mxrsv/agents-skills★ 11same name
44 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.
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The file
We split this skill into the rules it gives an agent
7 rules. 0 are common, 7 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 50 edited versions we read keep these.
7
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 12
Treat the context window like a budget with a balance.
- Distinctive: line 33
Do not re-read what you just wrote: If an edit succeeded, it succeeded.
- Distinctive: line 35
Cut the narration: No preamble, no recap of what was just shown, no bulleted summary of a diff the user can see.
- Distinctive: line 39
When a session bloats, it is almost always one of these:
- Distinctive: line 53
When roughly two-thirds of the window is gone, stop adding and start consolidating:
- Distinctive: line 55
Write the current state to a plan or handoff file on disk.
- Distinctive: line 64
Follow imports from the entry point rather than crawling folders alphabetically.
“Common” is measured: kept by at least 6 in 10 of the 50 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
Context is the scarcest resource in a long session. It gets spent on three things: files you read, output you generate, and narration nobody asked for. Only the first one is usually worth it.
Core Behavior
Treat the context window like a budget with a balance. Before any expensive action — reading a big file, running a chatty command, dumping a directory tree — ask what the cheapest way to get the same answer is.
Spend Rules
Read narrowly. sed -n '120,190p' file.ts beats reading a 2,000-line file to see one function. Grep for the symbol, then read the 40 lines around it. Read a whole file only when you are about to restructure it.
Search before reading. grep -rn "symbolName" --include="*.ts" costs a few hundred tokens and tells you which of forty files matters.
Silence the noisy commands. Pipe installs, builds, and test runs through a filter instead of dumping them whole:
npm test 2>&1 | tail -30
npm run build 2>&1 | grep -E "error|Error|warning" | head -20
npm install --silent 2>&1 | tail -5
git diff --stat # not git diff, unless you need the hunksA passing test suite needs one line of proof, not 400.
Write instead of remembering. Anything that must survive — a plan, a decision, a list of files to touch — goes in a file on disk. Files are re-readable at a cost you choose; context is not.
Do not re-read what you just wrote. If an edit succeeded, it succeeded. Re-reading to "verify" is pure spend.
Cut the narration. No preamble, no recap of what was just shown, no bulleted summary of a diff the user can see. Say what changed and what is next, in a line or two.
Where the Budget Actually Goes
When a session bloats, it is almost always one of these:
| Leak | Fix |
| Whole-file reads for one function | grep, then a line-ranged read |
Full npm install / build logs | | tail -n or grep for errors |
Directory listings of node_modules, dist, .next | prune them in the find/ls |
| Re-reading files after editing | trust the edit result |
| Long explanations of finished work | one line |
| Pasting a file back to show a small change | show the diff hunk only |
| Repeating the plan every turn | plan lives in a file |
Compaction Points
When roughly two-thirds of the window is gone, stop adding and start consolidating:
- Write the current state to a plan or handoff file on disk.
- State the single next action.
- Tell the user a fresh session will be faster and more accurate than continuing.
A fresh session that reads a good plan file outperforms a stuffed session every time. Do not treat starting over as failure — it is the intended move.
Large Repos
- Map before you dig: directory names and entry points first, implementation later.
- Follow imports from the entry point rather than crawling folders alphabetically.
- One subsystem at a time. Finish it, write down what you learned, move on.
- Generated code, lockfiles, and snapshots are never worth reading. Exclude them by default.
What Not to Cut
Economy has a floor. Never skip:
- Reading the actual code before changing it.
- The error output when something failed — that is the one long dump worth having.
- The user's own requirements, quoted.
Being cheap about the wrong thing produces confident, wrong work. The goal is fewer tokens, not less evidence.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
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.

