agentleFS
dEitY719dEitY719/claudecode-skills/skills/cache-ttl/SKILL.md

cache-ttl

Skill0 starsChanged 2 months agoMITView on GitHub

Flip Claude Code's prompt-cache TTL between 5m and 1h via env.ENABLE_PROMPT_CACHING_1H in settings.json. Use on "프롬프트 캐시 1시간으로", "cache TTL 5분으로 되돌려", "/claudecode:cache-ttl". Other settings.json keys: the built-in `update-config`. Model: `/model`.

  • Reads credentials

The file

We split this skill into the rules it gives an agent

2 rules. About 0 are common, 0 are distinctive, and 2 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈0

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 2

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    If the argument is -h, --help, or help, read references/help.md and follow it, then stop.

    line 25
  2. Very specific:

    Do not hand-write jq or sed against settings.json instead.

    line 54

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Prompt Cache TTL Switch

Writes one key in settings.json. Everything else in that file is preserved.

Help

If the argument is -h, --help, or help, read references/help.md and follow it, then stop.

Step 1: Pick the mode

User saysMode
"1시간", "1h", "long cache", "extend the cache"1h
"5분", "5m", "기본값", "back to default", "turn it off"5m
nothing recognisableask which one; do not guess

Step 2: Run the script

Paste the locator block from references/run-script.md (the only place this skill spells the path), then:

sh "$_CC" 1h
sh "$_CC" 5m
OptionDescriptionDefault
1hset env.ENABLE_PROMPT_CACHING_1H to "1"—
5mdelete the key (5-minute default cache)yes — used when no argument is given

The script targets ${CLAUDE_CONFIG_DIR:-$HOME/.claude}/settings.json, so a multi-account setup switches accounts by exporting CLAUDE_CONFIG_DIR before the call.

Do not hand-write jq or sed against settings.json instead. The script is the contract; a one-off edit is how an unrelated key gets dropped.

Step 3: Report

On exit 0, print [OK] followed by the script's own three lines verbatim:

[OK] cache TTL: 5m -> 1h  (env.ENABLE_PROMPT_CACHING_1H: (unset) -> 1)
file: /home/you/.claude/settings.json
Restart Claude Code to pick it up.

On any non-zero exit, print [FAIL] exit=<n> and relay the script's stderr verbatim, then stop — see Failure modes.

What the script does

  • 1h -> .env.ENABLE_PROMPT_CACHING_1H = "1"
  • 5m -> deletes that key, and drops .env entirely if it becomes empty
  • missing settings.json -> creates {} first, then patches
  • reads to a temp file and mvs it into place, so a jq failure cannot truncate the real file

Failure modes — read the exit, do not work around it

ExitMeaningCorrect response
2argument was neither 1h nor 5mre-read Step 1 and re-run
3jq not on PATHrelay the install hint the script printed; stop
4settings.json is not valid JSONa .bak copy was saved and nothing was written; refusing to touch broken JSON is the feature, not a bug — tell the user to fix the JSON, never rewrite it with sed or python -c

Constraints

  • Touches exactly one key. Never edit model, hooks, permissions, or statusLine from this skill.
  • Requires jq. There is no degraded mode.
  • Self-contained: the script depends on nothing outside this skill directory.

Related Skills

claudecode:statusline-setup installs the status line into the same settings.json using the same lossless merge.

Download now (ZIP)

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
What did you use it for? e.g. Reviewing pull requests in a Rails app

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.