Token & Context Discipline

SkillFiles & storage

Context/token discipline: subagent isolation, output = summary, move-to-file, delegation threshold, lean skills.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Token & Context Discipline skill

What this skill tells your AI

The instructions your AI receives, as published by byerlikaya/claude-starter-kit in plugin/skills/token-budget/SKILL.md and read by ahel’s review.

Trigger phrases: "token budget", "token cost", "context window", "context management", "context is full", "clear context", "running out of context"

A subagent exists for context management: it runs in its own window and returns only its summary to the main thread — intermediate noise (file reads, searches, logs) never enters the main context.

Warning — measured, not guessed. Each subagent re-pays its full context from scratch: in a real transcript the first turn was cache_read=0, every token cache_creation — nothing is shared with the main thread's cache. A no-op subagent (task = "reply DONE") already cost ~10k tokens with restricted tools and ~16k with full tool access; that floor is base system prompt + tool schemas, paid fresh every time. Of the always-on material only the skill listing (~2.5–3k tokens) is inherited by a subagent — the discipline (DISCIPLINE.md/CLAUDE.md) and the agent descriptions are not injected into it. So a delegation is worth it for isolation / parallelism / a clean window, or when the isolated work would otherwise cost the main thread more than that ~10–16k floor — never by default.

Rules

  1. Output = summary. The agent returns a short, structured summary to the main thread; it does not return raw logs / file dumps / long code.
  2. Move to a file. Heavy output (a plan, scan report, inventory) is written to docs/*.md; a summary + pointer comes back. (local, in gitignore)
  3. Delegation threshold. Noisy/heavy work (reading many files, scanning, research) → subagent. A single tool-call / small work → main thread. Concretely: if the isolated work won't save the main thread more than the ~10–16k fresh-context floor a subagent costs, keep it on the main thread — delegate for isolation, not to shave a few reads.
  4. Least tooling. An agent holds only the tools it needs; extras accidentally pollute the context + burn the limit.
  5. Lean SKILL.md. Skills load into the main context; heavy reference goes to a separate file, only when needed.
  6. Targeted reading. Instead of reading a whole file, pinpoint with Grep/Glob.
  7. Manage with /context. session-manager-csk recommends continue/handoff+clear based on the real percentage; at a phase boundary, /clear.
  8. Bound what a command hands back. All of the rules above govern the context's own footprint; none of them govern what a single Bash call dumps into it. A find over a monorepo, an unfiltered log, a full test run — each returns everything to the main thread whether or not any of it is read. Ask for the answer, not the corpus: grep -c over grep, | tail -20 over the whole file, --quiet/--porcelain where the tool has one, and a redirect to a file plus a pointer when the output is genuinely needed later (rule 2).
  9. Cut what nothing reaches — with evidence, not a hunch. Every installed skill spends its name and description in EVERY session, forever. bash .claude/eval/utilization.sh reports which skills actually fired in this project's transcripts and how many bytes the cold ones cost, which is the list doctor.sh §4a's skillOverrides: name-only advice needs and never had. Read it as evidence, not a verdict: a skill that only fires during an incident is doing its job by existing. --all-projects widens the scope; by default it reads this project only and prints names and counts, never paths or content.

Signals

GitHub stars
22
Forks
4
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
token-budget
Source
github.com/byerlikaya/claude-starter-kit