Roslyn Analyzers
github/awesome-copilot
Build, review, debug, package, and test Roslyn diagnostic analyzers, code fix providers, and incremental source generators.
Agent skill for performance-analyzer - invoke with $agent-performance-analyzer
MITAuto-check passed
Install Agent Performance Analyzer
$ npx skills add ruvnet/ruflo --skill agent-performance-analyzer -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install ruvnet/ruflo agent-performance-analyzer --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/ruvnet/ruflo.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/agent-performance-analyzer .claude/skills/agent-performance-analyzer && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "agent-performance-analyzer" agent skill from https://github.com/ruvnet/ruflo/tree/main/.agents/skills/agent-performance-analyzer into .claude/skills/agent-performance-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-performance-analyzer", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/ruvnet/ruflo/tree/main/.agents/skills/agent-performance-analyzerType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add ruvnet/ruflo --skill agent-performance-analyzer -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install ruvnet/ruflo agent-performance-analyzer --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ruvnet/ruflo.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/agent-performance-analyzer .agents/skills/agent-performance-analyzer && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "agent-performance-analyzer" agent skill from https://github.com/ruvnet/ruflo/tree/main/.agents/skills/agent-performance-analyzer into .agents/skills/agent-performance-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-performance-analyzer", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add ruvnet/ruflo --skill agent-performance-analyzer -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install ruvnet/ruflo agent-performance-analyzer --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ruvnet/ruflo.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/agent-performance-analyzer .cursor/skills/agent-performance-analyzer && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "agent-performance-analyzer" agent skill from https://github.com/ruvnet/ruflo/tree/main/.agents/skills/agent-performance-analyzer into .cursor/skills/agent-performance-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-performance-analyzer", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/ruvnet/ruflo.git --path .agents/skills/agent-performance-analyzer--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add ruvnet/ruflo --skill agent-performance-analyzer -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install ruvnet/ruflo agent-performance-analyzer --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ruvnet/ruflo.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/agent-performance-analyzer .gemini/skills/agent-performance-analyzer && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "agent-performance-analyzer" agent skill from https://github.com/ruvnet/ruflo/tree/main/.agents/skills/agent-performance-analyzer into .gemini/skills/agent-performance-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-performance-analyzer", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install ruvnet/ruflo agent-performance-analyzerInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add ruvnet/ruflo --skill agent-performance-analyzer -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/ruvnet/ruflo.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/agent-performance-analyzer .github/skills/agent-performance-analyzer && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "agent-performance-analyzer" agent skill from https://github.com/ruvnet/ruflo/tree/main/.agents/skills/agent-performance-analyzer into .github/skills/agent-performance-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-performance-analyzer", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add ruvnet/ruflo --skill agent-performance-analyzer -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install ruvnet/ruflo agent-performance-analyzer --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ruvnet/ruflo.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/agent-performance-analyzer .opencode/skills/agent-performance-analyzer && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "agent-performance-analyzer" agent skill from https://github.com/ruvnet/ruflo/tree/main/.agents/skills/agent-performance-analyzer into .opencode/skills/agent-performance-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-performance-analyzer", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
agent-performance-analyzer- GitHub stars
- 74k
- Used in
- 2 other repos
- Token cost
- ~1.3k tokens
- SKILL.md length
- 452 words
- Files
- 1
- Skills in repo
- 264
- Repo updated
- First seen
- Licence
- MIT
At a glance
Agent skill for performance-analyzer - invoke with $agent-performance-analyzer
- Works in 12 steps: Bottleneck Types → Detection Methods → Optimization Strategies → …
- SKILL.md covers Purpose, Analysis Capabilities, Analysis Workflow and Common Bottleneck Patterns, plus 4 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Agent Performance Analyzer is an agent skill from ruvnet/ruflo. Agent skill for performance-analyzer - invoke with $agent-performance-analyzer
Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
The repository describes itself as: 🌊 The original agent harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory…. The licence is MIT.
Example prompts
- “/agent-performance-analyzer”
Workflow steps
12 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit de590e1. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Agent Performance Analyzer loads about 1.3k tokens when it runs. Until then it costs about 26 tokens; SKILL.md has 452 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from ruvnet/ruflo at commit de590e1, republished under its MIT licence (© ruvnet). 452 words, ~1,334 tokens.
Download SKILL.mdSave it as
.claude/skills/agent-performance-analyzer/SKILL.md (or your agent's skills folder).- name
- agent-performance-analyzer
- description
- Agent skill for performance-analyzer - invoke with $agent-performance-analyzer
name: perf-analyzer color: "amber" type: analysis description: Performance bottleneck analyzer for identifying and resolving workflow inefficiencies capabilities:
- performance_analysis
- bottleneck_detection
- metric_collection
- pattern_recognition
- optimization_planning
- trend_analysis
priority: high
hooks:
pre: |
echo "📊 Performance Analyzer starting analysis"
memory_store "analysis_start" "$(date +%s)"
Collect baseline metrics
echo "📈 Collecting baseline performance metrics" post: | echo "✅ Performance analysis complete" memory_store "perf_analysis_complete_$(date +%s)" "Performance report generated" echo "💡 Optimization recommendations available"
Performance Bottleneck Analyzer Agent
Purpose
This agent specializes in identifying and resolving performance bottlenecks in development workflows, agent coordination, and system operations.
Analysis Capabilities
1. Bottleneck Types
- Execution Time: Tasks taking longer than expected
- Resource Constraints: CPU, memory, or I/O limitations
- Coordination Overhead: Inefficient agent communication
- Sequential Blockers: Unnecessary serial execution
- Data Transfer: Large payload movements
2. Detection Methods
- Real-time monitoring of task execution
- Pattern analysis across multiple runs
- Resource utilization tracking
- Dependency chain analysis
- Communication flow examination
3. Optimization Strategies
- Parallelization opportunities
- Resource reallocation
- Algorithm improvements
- Caching strategies
- Topology optimization
Analysis Workflow
1. Data Collection Phase
1. Gather execution metrics
2. Profile resource usage
3. Map task dependencies
4. Trace communication patterns
5. Identify hotspots2. Analysis Phase
1. Compare against baselines
2. Identify anomalies
3. Correlate metrics
4. Determine root causes
5. Prioritize issues3. Recommendation Phase
1. Generate optimization options
2. Estimate improvement potential
3. Assess implementation effort
4. Create action plan
5. Define success metricsCommon Bottleneck Patterns
1. Single Agent Overload
Symptoms: One agent handling complex tasks alone Solution: Spawn specialized agents for parallel work
2. Sequential Task Chain
Symptoms: Tasks waiting unnecessarily Solution: Identify parallelization opportunities
3. Resource Starvation
Symptoms: Agents waiting for resources Solution: Increase limits or optimize usage
4. Communication Overhead
Symptoms: Excessive inter-agent messages Solution: Batch operations or change topology
5. Inefficient Algorithms
Symptoms: High complexity operations Solution: Algorithm optimization or caching
Integration Points
With Orchestration Agents
- Provides performance feedback
- Suggests execution strategy changes
- Monitors improvement impact
With Monitoring Agents
- Receives real-time metrics
- Correlates system health data
- Tracks long-term trends
With Optimization Agents
- Hands off specific optimization tasks
- Validates optimization results
- Maintains performance baselines
Show full SKILL.md (176 more words)Show less
Metrics and Reporting
Key Performance Indicators
- Task Execution Time: Average, P95, P99
- Resource Utilization: CPU, Memory, I/O
- Parallelization Ratio: Parallel vs Sequential
- Agent Efficiency: Utilization rate
- Communication Latency: Message delays
Report Format
## Performance Analysis Report
### Executive Summary
- Overall performance score
- Critical bottlenecks identified
- Recommended actions
### Detailed Findings
1. Bottleneck: [Description]
- Impact: [Severity]
- Root Cause: [Analysis]
- Recommendation: [Action]
- Expected Improvement: [Percentage]
### Trend Analysis
- Performance over time
- Improvement tracking
- Regression detectionOptimization Examples
Example 1: Slow Test Execution
Analysis: Sequential test execution taking 10 minutes Recommendation: Parallelize test suites Result: 70% reduction to 3 minutes
Example 2: Agent Coordination Delay
Analysis: Hierarchical topology causing bottleneck Recommendation: Switch to mesh for this workload Result: 40% improvement in coordination time
Example 3: Memory Pressure
Analysis: Large file operations causing swapping Recommendation: Stream processing instead of loading Result: 90% memory usage reduction
Best Practices
Continuous Monitoring
- Set up baseline metrics
- Monitor performance trends
- Alert on regressions
- Regular optimization cycles
Proactive Analysis
- Analyze before issues become critical
- Predict bottlenecks from patterns
- Plan capacity ahead of need
- Implement gradual optimizations
Advanced Features
1. Predictive Analysis
- ML-based bottleneck prediction
- Capacity planning recommendations
- Workload-specific optimizations
2. Automated Optimization
- Self-tuning parameters
- Dynamic resource allocation
- Adaptive execution strategies
3. A/B Testing
- Compare optimization strategies
- Measure real-world impact
- Data-driven decisions
© ruvnet, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in .agents/skills/agent-performance-analyzer of ruvnet/ruflo.
Open the folder on GitHubat commit de590e1
Used in 2 other repositories
We found 2 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 2 other GitHub owners. This page covers the copy in ruvnet/ruflo, which our catalogue first saw on October 7, 2026.
Compare with similar skills
Agent Performance Analyzer next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Agent Performance Analyzer this skillruvnet/ruflo | 74k | 2 repos | ~1.3k | Automated safety check: Pass | MIT | |
| Roslyn Analyzersgithub/awesome-copilot | 40k | — | ~9k | Automated safety check: Pass | MIT | |
| Vardoger Analyzegithub/awesome-copilot | 40k | 1 repos | ~1.4k | Automated safety check: Pass | Apache-2.0 | |
| Meeting Analyzeralirezarezvani/claude-skills | 28k | 1 repos | ~3k | Automated safety check: Pass | MIT | |
| Analyze Io Tracesmoeru-ai/airi | 50k | — | ~542 | Automated safety check: Pass | MIT | |
| Ad Campaign Analyzersickn33/agentic-awesome-skills | 47k | 1 repos | ~4.3k | Automated safety check: Pass | MIT |
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Questions about Agent Performance Analyzer
What does Agent Performance Analyzer do?
Agent skill for performance-analyzer - invoke with $agent-performance-analyzer. Agent Performance Analyzer is an agent skill from ruvnet/ruflo.
How do I install Agent Performance Analyzer in Claude Code?
Run `npx skills add ruvnet/ruflo --skill agent-performance-analyzer -a claude-code`. Or copy the skill folder (.agents/skills/agent-performance-analyzer in ruvnet/ruflo) into .claude/skills/agent-performance-analyzer in your project. Claude Code loads it when a task matches its description.
How do I install Agent Performance Analyzer in Codex?
Run `npx skills add ruvnet/ruflo --skill agent-performance-analyzer -a codex`. Or copy the skill folder (.agents/skills/agent-performance-analyzer in ruvnet/ruflo) into .agents/skills/agent-performance-analyzer in your project. Codex loads it when a task matches its description.
Can I use Agent Performance Analyzer in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add ruvnet/ruflo --skill agent-performance-analyzer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/agent-performance-analyzer, .gemini/skills/agent-performance-analyzer, .github/skills/agent-performance-analyzer and .opencode/skills/agent-performance-analyzer in your project.
What does Agent Performance Analyzer need to run?
SKILL.md names no scripts, command-line tools or credentials: Agent Performance Analyzer is instructions for the agent only.
Does Agent Performance Analyzer access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Agent Performance Analyzer safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Agent Performance Analyzer use?
Agent Performance Analyzer is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Agent Performance Analyzer use?
About 1.3k tokens (SKILL.md is roughly 5.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Agent Performance Analyzer?
Skills that share tags, products or a category with Agent Performance Analyzer: Roslyn Analyzers (github/awesome-copilot, 40k stars), Vardoger Analyze (github/awesome-copilot, 40k stars), Meeting Analyzer (alirezarezvani/claude-skills, 28k stars) and Analyze Io Traces (moeru-ai/airi, 50k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Agent Performance Analyzer?
ruvnet (a GitHub user) maintains it in ruvnet/ruflo, which has 74,012 GitHub stars. The repository holds 264 skills in this directory. The repository was last updated on October 7, 2026.
Source: ruvnet/ruflo on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.