API Literacy
EngineeringUnderstanding authentication, rate limits, request shapes, errors, and source attribution.
Skill linked from curated resource requirements.
SkillNeeds verificationEngineeringRequired
Use case · Needs verification
AI Observability And Evaluation
Evaluation, tracing, prompt testing, and monitoring tools for LLM applications.
Use caseNeeds verification
Publication status
This page is generated from the seed database and is marked Needs verification. It is useful for local discovery, but final public ranking and indexing should wait for manual source review.
Start here
Move from problem framing to a shortlist by checking required skills first, then tools, repositories, MCP resources, and caveats.
Skills
8 mapped skills
Tools
6 candidate tools
Repos
0 GitHub records
Required and useful skills
Data Ingestion
DataLoading, cleaning, chunking, and normalizing documents or structured data.
Skill linked from curated resource requirements.
SkillNeeds verificationDataRequired
Debugging
QualityFinding root causes through logs, reproduction, isolation, and targeted tests.
Skill linked from curated resource requirements.
SkillNeeds verificationQualityRequired
Evaluation
QualityTesting LLM quality, retrieval quality, task completion, and regression behavior.
Skill linked from curated resource requirements.
SkillNeeds verificationQualityRecommended
Diagnosing poor AI outputs by adjusting instructions, context, examples, and constraints.
Skill linked from curated resource requirements.
SkillNeeds verificationAIRecommended
Connecting LLMs to external knowledge with retrieval, ranking, and grounded responses.
Skill linked from curated resource requirements.
SkillNeeds verificationAIRequired
Test Automation
QualityCreating repeatable checks for UI, API, integration, and regression behavior.
Skill linked from curated resource requirements.
SkillNeeds verificationQualityRecommended
Workflow Design
AutomationBreaking a task into reliable steps, checkpoints, retries, and human review gates.
Skill linked from curated resource requirements.
SkillNeeds verificationAutomationRecommended
Recommended tools
Arize Phoenix
AI Observability EvaluationOpen-source observability and evaluation tool for LLM and ML applications.
Curated tool relationship for future one-stop directory pages.
ToolNeeds verificationOpen sourceSelf-hostedFreemiumGitHub linked
Langfuse
AI Observability EvaluationOpen-source LLM observability and tracing platform.
Curated tool relationship for future one-stop directory pages.
ToolNeeds verificationOpen sourceSelf-hostedFreemiumGitHub linked
Promptfoo
AI Observability EvaluationOpen-source tool for testing, evaluating, and red-teaming prompts and LLM apps.
Curated tool relationship for future one-stop directory pages.
ToolNeeds verificationOpen sourceSelf-hostedFreemiumGitHub linked
Ragas
AI Observability EvaluationEvaluation framework for RAG and LLM application quality checks.
Curated tool relationship for future one-stop directory pages.
ToolNeeds verificationOpen sourceSelf-hostedGitHub linked
AgentOps
AI Observability EvaluationObservability and debugging platform for AI agents.
Curated tool relationship for future one-stop directory pages.
ToolNeeds verificationOpen sourceSelf-hostedFreemiumGitHub linked
Helicone
AI Observability EvaluationOpen-source observability platform for LLM usage, latency, and cost tracking.
Curated tool relationship for future one-stop directory pages.
ToolNeeds verificationOpen sourceSelf-hostedFreemiumGitHub linked
Repository candidates
No repository relationships are present for this use case yet.
Caveats and failure modes
Records are useful for discovery but still need source, license, pricing, and summary review before public ranking.