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/continue-enable-defaults

Continue's prompt caching is opt-in via config and off by default. Flip the default to systemAndTools.

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prompt-cache-skills
11613 skills
Install
$ npx -y skills add OnlyTerp/prompt-cache-skills --skill continue-enable-defaults --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/continue-enable-defaults

Context preview

The summary Claude sees to decide when to auto-load this skill.

Continue's prompt caching is opt-in via config and off by default. Flip the default to systemAndTools.

SKILL.md

continue-enable-defaults.SKILL.md
name: continue-enable-defaults
description: Continue's prompt caching is opt-in via config and off by default. Flip the default to systemAndTools.
target_harness: Continue
target_repo: continuedev/continue
target_files:
  - packages/openai-adapters/src/apis/Anthropic.ts
  - core/llm/llms/Bedrock.ts
target_commit: main (last push 2026-05-26)
estimated_savings: 90% input discount for every user who hasn't manually configured caching (most of them)

Continue: enable caching defaults

Target

`packages/openai-adapters/src/apis/Anthropic.ts` and `core/llm/llms/Bedrock.ts` in `continuedev/continue`.

Symptom

Continue's caching is gated on three config flags:

  • `cacheBehavior.cacheConversation` (default: false)
  • `cacheBehavior.cacheSystemMessage` (default: false)
  • `completionOptions.promptCaching` (default: false)

A user has to know all three exist and set them in `config.yaml`. Most don't. Net effect: the median user gets no caching.

Open issue #5172 ("Anthropic prompt caching doesn't work") is mostly this — users don't realize they need to configure it.

Fix (two-part)

Part A — flip the default strategy

In `Anthropic.ts`:

--- a/packages/openai-adapters/src/apis/Anthropic.ts
+++ b/packages/openai-adapters/src/apis/Anthropic.ts
@@
-  const cachingStrategy = CACHING_STRATEGIES[this.config.cachingStrategy ?? "systemAndTools"];
+  // Default to caching system + tools. Users on supported models pay
+  // the 1.25x write premium on the first call and get 0.1x on every
+  // subsequent call within 5 minutes — strict win above ~3 reads.
+  const cachingStrategy = CACHING_STRATEGIES[this.config.cachingStrategy ?? "systemAndTools"];

(`systemAndTools` already IS the documented default in the code path above, but the user-facing config schema treats it as optional with unclear default. Audit your codebase to confirm the actual fallback behavior matches the documented one. If not, fix.)

Part B — auto-enable conversation message caching for supported models

@@
-  if ((this.config.cachingStrategy ?? "systemAndTools") !== "none") {
-    addCacheControlToLastTwoUserMessages(result.messages);
+  // Auto-enable for any model that declares supportsPromptCache.
+  // User can still opt out with cachingStrategy: "none".
+  const strategy = this.config.cachingStrategy ?? "systemAndTools";
+  if (strategy !== "none" && this.modelSupportsPromptCache()) {
+    // NOTE: this is currently buggy — see continue-fix-volatile-msg
+    // skill for the volatile-message fix that should land alongside.
+    addCacheControlToLastTwoUserMessages(result.messages);
   }

Same change in `Bedrock.ts` — auto-enable `cachePoint` for models with `supportsPromptCache: true` unless user explicitly opts out.

Part C — document the change in CHANGELOG

Users coming from older Continue versions will see bills shift (downward, but still a change). Add a CHANGELOG entry calling out that caching is now default-on for supported models.

Verify

1. With NO `cacheBehavior` or `completionOptions.promptCaching` set in config.yaml, start a Continue chat with Claude. 2. Capture wire. 3. Confirm outbound request body contains `cache_control` markers without any user config touching them. 4. Confirm second-turn response `usage.cache_read_input_tokens > 0`.

Background

Caching that requires a config flag to enable is caching that doesn't get used. The 1.25x write premium pays for itself after ~3 reads, which any multi-turn chat clears trivially. There's no scenario where "caching off" is the right default for an agent CLI on a model that supports it.

This skill is best applied alongside [continue-fix-volatile-msg](../continue-fix-volatile-msg/SKILL.md) (same Cline-family copy-paste bug present in Continue too) so users don't get the cache thrash without knowing.

Full audit: [audits/continue.md](../../audits/continue.md).

Read more
Ships withprompt-cache-skills

Drop-in prompt-caching fixes for the LLM agent harness you use. Point your AI coding agent at this repo and it ships the patches.

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