Individual skill
coding-agent-cost
Reads your Claude Code sessions in LangWatch and recommends the settings that cut their cost and context, each with the evidence from your own data, the exact settings.json change and the expected saving marked as measured or estimated. Covers older model versions, the auto-compact window, the prompt cache lifetime for API-key and subscription users, the model your built-in sub-agents run on, and sessions that should have been split. Use when someone asks why their coding agents cost so much, how to make a Claude Code plan last longer, or which Claude Code settings to change.
skills/_compiled/native/coding-agent-cost/SKILL.md
Source commit e5e4a1741ba26492ebf8865b24b05e0ef39b750e
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- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
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- No
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- No
- Observed behavior
- Network or broad shell
- Last checked
- Nov 9, 2026
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- Repository stars (not skill ratings)
- 5,019
- Repository last updated
- Nov 9, 2026
- License
- Apache-2.0
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- ai Repository topic
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- gpt Repository topic
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SKILL.mdcore · 18,642 bytes
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# Cut Your Coding Agent's Cost and Context
This skill reads the user's own Claude Code sessions from LangWatch, runs one check per recommendation below, and reports only the recommendations their data supports. Every recommendation names the evidence, the exact setting and an expected saving, and says whether that saving was measured in a controlled run or estimated from token counts. It is read-only on the platform and leaves one report file behind.
## Step 1: Set up the LangWatch CLI
Use the `langwatch` CLI for everything: documentation (`langwatch docs ...`, `langwatch scenario-docs ...`) and platform operations (prompts, scenarios, evaluators, datasets, monitors, traces, analytics). Install it once with `npm install -g langwatch`, then run the `langwatch` binary directly; an unpinned `npx langwatch` re-resolves the package from the registry on every run.
Coding-agent sessions live in the user's personal LangWatch workspace by default. On a laptop `langwatch login --device` signs this machine in. A project key in `LANGWATCH_API_KEY` stands in for that login only for its own project: it refuses `--project` for any other, so reaching a team project still needs `langwatch login --device`. Add `--project <slug>` on every read command except `query run` when the sessions live in a team project instead. `query run` takes the projects to read from `--projects <id,id>` (Step 3), and refuses `--project` beside it.
## Step 2: Find Out How the User Pays
The same tokens mean different things to different users, so settle this before any number goes in the report.
