langchain-cost-tuning
Optimize LangChain API costs and token usage. Use when reducing LLM API expenses, implementing cost controls, or optimizing token consumption in production. Trigger with phrases like "langchain cost", "langchain tokens", "reduce langchain cost", "langchain billing", "langchain budget".
Install with Tessl CLI
npx tessl i github:jeremylongshore/claude-code-plugins-plus-skills --skill langchain-cost-tuning78
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npx tessl skill review --optimize ./path/to/skillValidation for skill structure
Discovery
89%Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.
This is a well-structured skill description with excellent trigger term coverage and clear 'Use when' guidance. The main weakness is the lack of specific concrete actions - it describes the goal (optimize costs) but not the specific techniques or capabilities the skill provides. Adding 2-3 specific actions would elevate this from good to excellent.
Suggestions
Add specific concrete actions like 'implement token caching, set usage limits, configure batch processing, analyze token consumption patterns' to improve specificity.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Names the domain (LangChain API costs/tokens) and general actions (optimize, reduce, implement controls), but lacks specific concrete actions like 'set token limits', 'implement caching', or 'configure rate limiting'. | 2 / 3 |
Completeness | Clearly answers both what (optimize LangChain API costs and token usage) and when (explicit 'Use when...' clause with triggers, plus 'Trigger with phrases like...' providing additional guidance). | 3 / 3 |
Trigger Term Quality | Excellent coverage of natural trigger terms users would say: 'langchain cost', 'langchain tokens', 'reduce langchain cost', 'langchain billing', 'langchain budget', plus phrases like 'LLM API expenses' and 'token consumption'. | 3 / 3 |
Distinctiveness Conflict Risk | Highly specific niche combining LangChain + cost optimization; the explicit trigger phrases are distinctive and unlikely to conflict with general LangChain skills or generic cost optimization skills. | 3 / 3 |
Total | 11 / 12 Passed |
Implementation
64%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This skill provides highly actionable, executable code examples for LangChain cost optimization with good coverage of strategies. However, it's verbose with time-sensitive pricing data that will become stale, and lacks validation checkpoints for production deployment. The content would benefit from being split into a concise overview with detailed implementations in separate files.
Suggestions
Move the detailed PRICING dictionary and model-specific rates to a separate PRICING_REFERENCE.md file that can be updated independently, keeping only the estimate_cost function signature in the main skill
Add validation checkpoints after each implementation step (e.g., 'Verify: Run tracker.report() after 5 requests to confirm tracking works before production deployment')
Remove the Prerequisites section - Claude knows these are implied requirements for cost optimization work
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill includes some unnecessary elements like the pricing table that will quickly become outdated, and the 'Prerequisites' section states obvious requirements. However, the code examples are generally efficient and the summary table adds value. | 2 / 3 |
Actionability | Provides fully executable Python code for each strategy including cost tracking callbacks, prompt optimization, model tiering with RunnableBranch, caching setup, and budget enforcement. All examples are copy-paste ready with clear usage patterns. | 3 / 3 |
Workflow Clarity | Steps are clearly numbered and sequenced, but lacks validation checkpoints. For cost optimization involving production systems and budget limits, there should be explicit verification steps (e.g., 'verify cache is working before relying on it', 'test budget callback triggers correctly'). | 2 / 3 |
Progressive Disclosure | Content is reasonably organized with clear sections, but the skill is quite long (~200 lines) with detailed code that could be split into separate reference files. The Resources section provides external links but internal references to detailed docs would improve navigation. | 2 / 3 |
Total | 9 / 12 Passed |
Validation
75%Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.
Validation — 12 / 16 Passed
Validation for skill structure
| Criteria | Description | Result |
|---|---|---|
allowed_tools_field | 'allowed-tools' contains unusual tool name(s) | Warning |
metadata_version | 'metadata' field is not a dictionary | Warning |
frontmatter_unknown_keys | Unknown frontmatter key(s) found; consider removing or moving to metadata | Warning |
body_steps | No step-by-step structure detected (no ordered list); consider adding a simple workflow | Warning |
Total | 12 / 16 Passed | |
- Reviewed
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