Skill Effectiveness Analyzer
Analyzes skill effectiveness data to identify failure patterns and recommend improvements. Use after /skill-monitor flags underperforming skills.
- Type
- Subagent
- Repository
- oliver-kriska/claude-elixir-phoenix
- GitHub stars
- 556
- License
- MIT
- Repo last updated
- Sep 25, 2026
- Source file
- .claude/agents/skill-effectiveness-analyzer.md
- Model
- sonnet
What Skill Effectiveness Analyzer is
Skill Effectiveness Analyzer is a subagent published in the oliver-kriska/claude-elixir-phoenix repository on GitHub, which has about 556 stars. The repository describes itself as: “Claude Code plugin for Elixir/Phoenix/LiveView — 26 specialist agents, Iron Laws enforcement, and Tidewave MCP integration. Plan features with parallel research agents, execute with automatic verification, review with 4-agent parallel audits, and capture learnings as reusable knowledge.”
A subagent is a specialist assistant that Claude can hand part of a task to. It is a markdown file whose frontmatter sets a name, a description that tells Claude when to delegate, and optionally the tools and model it may use; the body becomes the subagent's own system prompt.
Because a subagent works in its own context, it keeps the main conversation focused: Claude can send a narrow job, such as a review or a specialised analysis, to Skill Effectiveness Analyzer and get back a compact result.
It is set up to use these tools: Read, Grep, Glob, Write. Limiting tools is a good sign: the subagent can only do what those tools allow.
How to install Skill Effectiveness Analyzer
Claude Code
- Download skill-effectiveness-analyzer.md from the repository.
- Save it to ~/.claude/agents/ to use it in every project, or to .claude/agents/ inside one project to share it through version control.
- Claude Code watches these folders, so the subagent is usually available right away. Ask Claude to use it by name, or @-mention it to make sure it runs.
Claude Cowork
- Cowork loads subagents through plugins. If the repository is packaged as a plugin marketplace, add it under Customize → Plugins → Add marketplace and install the plugin that contains this subagent.
- Otherwise, bundle the file into your own plugin's agents/ folder and upload it from Customize → Plugins.
New to extending Cowork? Our plugins guide and Customize guide explain how skills, plugins, and connectors fit together.
Inside the source file
An excerpt from .claude/agents/skill-effectiveness-analyzer.md, shared under the repository's MIT license. Read the full file on GitHub.
You analyze plugin skill effectiveness metrics and produce actionable improvement recommendations. You are part of the closed-loop feedback cycle: deploy - monitor - evaluate - improve.
Your Role
You receive aggregated skill metrics from /skill-monitor and produce structured recommendations following the improvement template. You do NOT modify skills or agents — you write a recommendations file that the developer reviews.
Inputs (via prompt)
- metrics_data — JSON with per-skill aggregates
- flagged_skills — Skills below effectiveness thresholds
- session_ids — Sessions where flagged skills had friction
- window — Time window analyzed
Workflow
Step 1: Load Context
- Read metrics data from prompt
- Read improvement template — Glob: **/skill-monitor/references/improvement-template.md
- Check for session analysis reports — Glob: .claude/session-analysis/*-report.md
- Check for previous recommendations — Glob: .claude/skill-metrics/recommendations-*.md
Step 2: Analyze Flagged Skills
For each flagged skill:
- Read the skill's source file — Glob: **/skills/{skill-name}/SKILL.md
- Read related agent files — Grep: {skill-name} in plugins/elixir-phoenix/agents/*.md
- Check session reports — Grep: {skill-name} in .claude/session-analysis/*-report.md
- Check compound solutions — Grep: {skill-name} in .claude/solutions/**/*.md
Step 3: Identify Failure Patterns
For each flagged skill, classify the failure mode:
Cross-reference with session reports if available. Prefer STRONG evidence (3+ sessions) over inference.
Step 4: Generate Recommendations
Follow the improvement template structure exactly. For each recommendation:
- Identify the specific file to change
- Describe the change concretely (not vaguely)
- Cite session evidence
- Estimate impact
Step 5: Check Previous Recommendations
If previous recommendation files exist, check:
- Were prior recommendations implemented? (read the skill files)
- Did effectiveness improve after implementation?
- Are any prior recommendations still relevant?
Add a "Prior Recommendations Status" section:
Step 6: Write Output
Write to .claude/skill-metrics/recommendations-{date}.md following the improvement template format.
Include tracking plan at the end with:
- Current baseline metrics for flagged skills
- Target metrics after improvements
- Re-evaluation timeline
Constraints
- Read-only analysis — never modify skill or agent files
- Evidence-backed only — every recommendation needs session citations
- Concrete changes — "improve the prompt" is not actionable; "add step 2b: check compound solutions before debugging" is
- Keep recommendations under 200 lines
- Max 5 priority recommendations — focus beats breadth
- Don't recommend new skills when existing ones need fixing
- Attribution: if a pattern was found by session-deep-dive, cite the session report
Output Format
# Skill Improvement Recommendations — {date}
## Executive Summary
{1 paragraph}
## Flagged Skills
{per-skill analysis following template}
## Cross-Skill Patterns
{patterns affecting multiple skills}
## Positive Patterns (Preserve)
{what's working}
## Priority Ranking
{ordered recommendations}
## Prior Recommendations Status
… Before you install
- Read the whole file first. Skills, commands, and subagents are instructions Claude will follow, so make sure they match what you want.
- Check which tools, scripts, or MCP servers it uses. Local servers and scripts run with your permissions.
- Try it in a test project or a copy of your files before pointing it at real work.
- Pin the version you tested, and review changes before updating.
- Watch for instructions that fetch web content or run shell commands; those are where prompt injection risks start. See our prompt injection guide.
FAQ
What is Skill Effectiveness Analyzer?
Skill Effectiveness Analyzer is a subagent for Claude Code and Claude Cowork from the oliver-kriska/claude-elixir-phoenix repository on GitHub. Analyzes skill effectiveness data to identify failure patterns and recommend improvements. Use after /skill-monitor flags underperforming skills.
How do I install Skill Effectiveness Analyzer in Claude Code?
Download skill-effectiveness-analyzer.md from the repository. Save it to ~/.claude/agents/ to use it in every project, or to .claude/agents/ inside one project to share it through version control. Claude Code watches these folders, so the subagent is usually available right away. Ask Claude to use it by name, or @-mention it to make sure it runs.
Can I use Skill Effectiveness Analyzer in Claude Cowork?
Cowork loads subagents through plugins. If the repository is packaged as a plugin marketplace, add it under Customize → Plugins → Add marketplace and install the plugin that contains this subagent. Otherwise, bundle the file into your own plugin's agents/ folder and upload it from Customize → Plugins.
Is Skill Effectiveness Analyzer safe to install?
It is a third-party community resource, not reviewed by Anthropic or this site. Read the source file first, check which tools and connectors it uses, and install only from sources you trust.
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