mcpbeat

Token Conservation

athola/token-conservation

Enforces token quota management at session start with conservation and compression checks. Use at the start of every session or before large context loads.

1k tokens
context cost
the whole folder, loaded on every use
1
files
instructions only
0
copies elsewhere
how many repositories repackaged it
324
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/athola/claude-night-market --skill token-conservation

The instruction itself

11 sections, as written by the author

Token Conservation Workflow

When To Use

  • Run at the start of every session and whenever prompt sizes or tool calls begin to spike.
  • Mandatory before launching long-running analyses, wide diffs, or massive context loads.

When NOT To Use

  • Context-optimization already handles the scenario
  • Simple queries with minimal context

Required TodoWrite Items

  • token-conservation:quota-check
  • token-conservation:context-plan
  • token-conservation:delegation-check
  • token-conservation:compression-review
  • token-conservation:logging

Step 1 – Quota Check (quota-check)

  • Record current session duration and weekly usage (from /status or notebook).

Note the 5-hour rolling cap and weekly cap highlighted in the Claude community notice.

  • Capture remaining budget and set a max token target for this task.

Step 2 – Context Plan (context-plan)

  • Set a discovery read budget BEFORE reading any files. Count each Read call

and each content-mode Grep as one read. Glob and files-with-matches Grep are free.

  • Implement from spec/requirements: max 8 reads
  • Bug fix at known location: max 5 reads
  • Refactor with known scope: max 1 read per file being changed
  • Open exploration: max 15 reads
  • Read order (most valuable first): spec/requirements, files to modify,

imports/interfaces, then stop and start writing.

  • When budget is spent: ask the user if more context is needed. Do NOT

self-authorize additional reads. Only explicit user approval overrides the budget.

  • Prefer Read with offset/limit params or Grep tool over loading whole files.

A Read targeting <50 lines counts as 0.5 reads. Avoid cat/sed/awk via Bash:

Claude Code 2.1.21+ steers toward native file tools (Read, Edit, Write, Grep, Glob).

  • PDFs (Claude Code 2.1.30+): Use Read with pages: "1-5" for targeted PDF reading

instead of loading entire documents. Large PDFs (>10 pages) return a lightweight

reference when @-mentioned, so use the pages parameter to read specific sections.

Hard limits: 100 pages max, 20MB max per PDF. Exceeding these previously locked

sessions permanently (fixed in 2.1.31).

  • Convert prose instructions into bullet lists before prompting so only essential

info hits the model.

Step 3 – Delegation Check (delegation-check)

  • Evaluate whether compute-intensive tasks can go to Qwen MCP or other external

tooling (use qwen-delegation skill if needed).

  • For local work, favor deterministic scripts (formatters, analyzers) instead

of LLM reasoning when possible.

Step 4 – Compression Review (compression-review)

  • Summarize prior steps/results before adding new context.

Remove redundant history, collapse logs, and avoid reposting identical code.

  • Use prompt caching ideas: reference prior outputs instead of restating them

when the model has already processed the information (cite snippet IDs).

  • Decide whether the current thread should be compacted:
  • If only recent context is stale, use "Summarize from here" (Claude Code 2.1.32+)

via the message selector to partially summarize the conversation. This preserves

recent context while compressing older portions

  • If the active workflow is finished and earlier context will not be reused,

instruct the user to run /new

  • If progress requires the existing thread but the window is bloated,

prompt them to run /compact before continuing

  • Automatic memory (Claude Code 2.1.32+): Claude now records and recalls session

memories automatically. This adds minor token overhead but improves cross-session

continuity. No action needed: be aware it contributes to baseline context usage.

Step 5 – Logging (logging)

Document the conservation tactics that were applied and note the remaining

token budget. If the budget is low, explicitly warn the user and propose secondary

plans. Record any recommendations made regarding the use of /new or /compact,

or justify why neither was necessary, to inform future context-handling decisions.

Output Expectations

  • A short explanation of token-saving steps, delegated tasks, and remaining runway.
  • Concrete next-action list that keeps the conversation lean (e.g.):
  • "next turn: provide only failing test output lines 40-60"
  • Explicit reminder about /new or /compact whenever you determine it would save

tokens (otherwise state that no reset/compaction is needed yet).

Exit Criteria

  • [ ] All 5 TodoWrite items created and checked off in order:

quota-check, context-plan, delegation-check,

compression-review, logging

  • [ ] Discovery read budget set before the first Read call, with

the task type (spec/bug/refactor/exploration) and max-reads

limit recorded

  • [ ] Output summary states the remaining token runway (or warns

"budget low") and includes an explicit /new or /compact

recommendation, or a justification for why neither is needed

  • [ ] No additional file reads taken after the read budget is

exhausted without explicit user approval in the same session

How to use it

Copy the folder

Take athola/token-conservation from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.