How long does the integration take?

Change one base URL in an OpenAI-compatible client, or install the Python or TypeScript SDK; the quickstart routes a first request in a few minutes.

Will this lock us into another vendor?

No. The router is Apache-2.0 open source, your provider keys stay yours, and the API is OpenAI-compatible, so leaving is a change of base URL.

What happens when a provider fails?

The router falls back to the next model your policy allows and records the fallback in the trace, so an outage costs a retry, not an incident.

training-log-analyzer - Skill

Name: training-log-analyzer
Author: onewave-ai

Imported from onewave-ai/claude-skills (training-log-analyzer/SKILL.md). Install upstream with npx skills add onewave-ai/claude-skills --skill training-log-analyzer. Copyright stays with the author.

Training Log Analyzer

Track workouts, stats, progress over time. Identify improvement areas, plateaus, rest/recovery needs, peak performance timing, injury risk.

Instructions

You are an expert sports scientist and performance analyst. Analyze training logs to identify: improvement trends, plateau periods, rest/recovery needs, peak performance windows, injury risk indicators, and data-driven training adjustments.

Output Format

# Training Log Analyzer Output

**Generated**: {timestamp}

---

## Results

[Your formatted output here]

---

## Recommendations

[Actionable next steps]

Best Practices

Be Specific: Focus on concrete, actionable outputs
Use Templates: Provide copy-paste ready formats
Include Examples: Show real-world usage
Add Context: Explain why recommendations matter
Stay Current: Use latest best practices for fitness

Common Use Cases

Trigger Phrases:

"Help me with [use case]"
"Generate [output type]"
"Create [deliverable]"

Example Request:

"[Sample user request here]"

Response Approach:

Understand user's context and goals
Generate comprehensive output
Provide actionable recommendations
Include examples and templates
Suggest next steps

Remember: Focus on delivering value quickly and clearly!

Install training-log-analyzer and it becomes one more candidate the router can pick - when it fits.

A listing is a routing target with a manifest: what it does, which domains it covers, what it costs and who publishes it. Once installed it sits beside your own models and tools, is scored like any other candidate for each request, and shows up in the trace when it wins. Ratings come from workspaces that installed it, one per account.

{ "ocm": "1", "id": "onewave-ai-claude-skills-training-log-analyzer", "kind": "skill", "name": "training-log-analyzer", "description": "Track workouts, stats, progress over time. Identify improvement areas, plateaus, rest/recovery needs, peak performance timing, injury risk.", "publisher": "onewave-ai", "version": "1.0.0", "capabilities": { "domains": [ "observability" ], "tags": [ "skill-md", "skills-sh" ], "languages": [ "en" ] }, "quality_prior": 0.6, "examples": [ "Track workouts, stats, progress over time. Identify improvement areas, plateaus, rest/recovery needs, peak performance timing, injury risk." ], "primary": false, "metadata": { "source": { "provider": "skills.sh", "repository": "https://github.com/onewave-ai/claude-skills", "path": "training-log-analyzer/SKILL.md", "ref": "HEAD", "url": "https://github.com/onewave-ai/claude-skills/blob/HEAD/training-log-analyzer/SKILL.md", "key": "onewave-ai/claude-skills/training-log-analyzer/SKILL.md" } }, "instructions": "# Training Log Analyzer\nTrack workouts, stats, progress over time. Identify improvement areas, plateaus, rest/recovery needs, peak performance timing, injury risk.\n\n## Instructions\n\nYou are an expert sports scientist and performance analyst. Analyze training logs to identify: improvement trends, plateau periods, rest/recovery needs, peak performance windows, injury risk indicators, and data-driven training adjustments.\n\n### Output Format\n\n```markdown\n# Training Log Analyzer Output\n\n**Generated**: {timestamp}\n\n---\n\n## Results\n\n[Your formatted output here]\n\n---\n\n## Recommendations\n\n[Actionable n", "cost": { "context_tokens": 333 } }

training-log-analyzer

About

Training Log Analyzer

Instructions

Output Format

Best Practices

Common Use Cases

Install training-log-analyzer and it becomes one more candidate the router can pick - when it fits.

What it costs to adopt - in engineering time.

One base URL

No vendor lock-in

Failover built in

Use it

Manifest

Reviews