performance-analysis

Name: performance-analysis
Author: DNYoussef

32stars6forks

How to install performance-analysis?

dnyoussef/context-cascade/performance-analysis

$npx -y skills add DNYoussef/context-cascade --skill performance-analysis

Installs into the current project.

Summary

/*============================================================================*/ /* SKILL SKILL :: VERILINGUA x VERIX EDITION */ /*============================================================================*/

Files · 1

View on GitHub

SKILL.md

1	/============================================================================/
2	/* SKILL SKILL :: VERILINGUA x VERIX EDITION */
3	/============================================================================/
4
5	---
6	name: SKILL
7	version: 1.0.0
8	description: \|
9	[assert\|neutral] SKILL skill for operations workflows [ground:given] [conf:0.95] [state:confirmed]
10	category: operations
11	tags:
12	- general
13	author: system
14	cognitive_frame:
15	primary: aspectual
16	goal_analysis:
17	first_order: "Execute SKILL workflow"
18	second_order: "Ensure quality and consistency"
19	third_order: "Enable systematic operations processes"
20	---
21
22	/----------------------------------------------------------------------------/
23	/* S0 META-IDENTITY */
24	/----------------------------------------------------------------------------/
25
26	[define\|neutral] SKILL := {
27	name: "SKILL",
28	category: "operations",
29	version: "1.0.0",
30	layer: L1
31	} [ground:given] [conf:1.0] [state:confirmed]
32
33	/----------------------------------------------------------------------------/
34	/* S1 COGNITIVE FRAME */
35	/----------------------------------------------------------------------------/
36
37	[define\|neutral] COGNITIVE_FRAME := {
38	frame: "Aspectual",
39	source: "Russian",
40	force: "Complete or ongoing?"
41	} [ground:cognitive-science] [conf:0.92] [state:confirmed]
42
43	## Kanitsal Cerceve (Evidential Frame Activation)
44	Kaynak dogrulama modu etkin.
45
46	/----------------------------------------------------------------------------/
47	/* S2 TRIGGER CONDITIONS */
48	/----------------------------------------------------------------------------/
49
50	[define\|neutral] TRIGGER_POSITIVE := {
51	keywords: ["SKILL", "operations", "workflow"],
52	context: "user needs SKILL capability"
53	} [ground:given] [conf:1.0] [state:confirmed]
54
55	/----------------------------------------------------------------------------/
56	/* S3 CORE CONTENT */
57	/----------------------------------------------------------------------------/
58
59	# Performance Analysis Skill
60
61	## Kanitsal Cerceve (Evidential Frame Activation)
62	Kaynak dogrulama modu etkin.
63
64
65
66	Comprehensive performance analysis suite for identifying bottlenecks, profiling swarm operations, generating detailed reports, and providing actionable optimization recommendations.
67
68	## Overview
69
70	This skill consolidates all performance analysis capabilities:
71	- Bottleneck Detection: Identify performance bottlenecks across communication, processing, memory, and network
72	- Performance Profiling: Real-time monitoring and historical analysis of swarm operations
73	- Report Generation: Create comprehensive performance reports in multiple formats
74	- Optimization Recommendations: AI-powered suggestions for improving performance
75
76	## Quick Start
77
78	### Basic Bottleneck Detection
79	```bash
80	npx claude-flow bottleneck detect
81	```
82
83	### Generate Performance Report
84	```bash
85	npx claude-flow analysis performance-report --format html --include-metrics
86	```
87
88	### Analyze and Auto-Fix
89	```bash
90	npx claude-flow bottleneck detect --fix --threshold 15
91	```
92
93	## Core Capabilities
94
95	### 1. Bottleneck Detection
96
97	#### Command Syntax
98	```bash
99	npx claude-flow bottleneck detect [options]
100	```
101
102	#### Options
103	- `--swarm-id, -s <id>` - Analyze specific swarm (default: current)
104	- `--time-range, -t <range>` - Analysis period: 1h, 24h, 7d, all (default: 1h)
105	- `--threshold <percent>` - Bottleneck threshold percentage (default: 20)
106	- `--export, -e <file>` - Export analysis to file
107	- `--fix` - Apply automatic optimizations
108
109	#### Usage Examples
110	```bash
111	# Basic detection for current swarm
112	npx claude-flow bottleneck detect
113
114	# Analyze specific swarm over 24 hours
115	npx claude-flow bottleneck detect --swarm-id swarm-123 -t 24h
116
117	# Export detailed analysis
118	npx claude-flow bottleneck detect -t 24h -e bottlenecks.json
119
120	# Auto-fix detected issues
121	npx claude-flow bottleneck detect --fix --threshold 15
122
123	# Low threshold for sensitive detection
124	npx claude-flow bottleneck detect --threshold 10 --export critical-issues.json
125	```
126
127	#### Metrics Analyzed
128
129	Communication Bottlenecks:
130	- Message queue delays
131	- Agent response times
132	- Coordination overhead
133	- Memory access patterns
134	- Inter-agent communication latency
135
136	Processing Bottlenecks:
137	- Task completion times
138	- Agent utilization rates
139	- Parallel execution efficiency
140	- Resource contention
141	- CPU/memory usage patterns
142
143	Memory Bottlenecks:
144	- Cache hit rates
145	- Memory access patterns
146	- Storage I/O performance
147	- Neural pattern loading times
148	- Memory allocation efficiency
149
150	Network Bottlenecks:
151	- API call latency
152	- MCP communication delays
153	- External service timeouts
154	- Concurrent request limits
155	- Network throughput issues
156
157	#### Output Format
158	```
159	🔍 Bottleneck Analysis Report
160	━━━━━━━━━━━━━━━━━━━━━━━━━━━
161
162	📊 Summary
163	├── Time Range: Last 1 hour
164	├── Age

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Type

performance-analysis

32stars6forks

View on GitHub

How to install performance-analysis?

dnyoussef/context-cascade/performance-analysis

$npx -y skills add DNYoussef/context-cascade --skill performance-analysis

Installs into the current project.

Summary

Files · 1

View on GitHub

SKILL.md

1	/============================================================================/
2	/* SKILL SKILL :: VERILINGUA x VERIX EDITION */
3	/============================================================================/
4
5	---
6	name: SKILL
7	version: 1.0.0
8	description: \|
9	[assert\|neutral] SKILL skill for operations workflows [ground:given] [conf:0.95] [state:confirmed]
10	category: operations
11	tags:
12	- general
13	author: system
14	cognitive_frame:
15	primary: aspectual
16	goal_analysis:
17	first_order: "Execute SKILL workflow"
18	second_order: "Ensure quality and consistency"
19	third_order: "Enable systematic operations processes"
20	---
21
22	/----------------------------------------------------------------------------/
23	/* S0 META-IDENTITY */
24	/----------------------------------------------------------------------------/
25
26	[define\|neutral] SKILL := {
27	name: "SKILL",
28	category: "operations",
29	version: "1.0.0",
30	layer: L1
31	} [ground:given] [conf:1.0] [state:confirmed]
32
33	/----------------------------------------------------------------------------/
34	/* S1 COGNITIVE FRAME */
35	/----------------------------------------------------------------------------/
36
37	[define\|neutral] COGNITIVE_FRAME := {
38	frame: "Aspectual",
39	source: "Russian",
40	force: "Complete or ongoing?"
41	} [ground:cognitive-science] [conf:0.92] [state:confirmed]
42
43	## Kanitsal Cerceve (Evidential Frame Activation)
44	Kaynak dogrulama modu etkin.
45
46	/----------------------------------------------------------------------------/
47	/* S2 TRIGGER CONDITIONS */
48	/----------------------------------------------------------------------------/
49
50	[define\|neutral] TRIGGER_POSITIVE := {
51	keywords: ["SKILL", "operations", "workflow"],
52	context: "user needs SKILL capability"
53	} [ground:given] [conf:1.0] [state:confirmed]
54
55	/----------------------------------------------------------------------------/
56	/* S3 CORE CONTENT */
57	/----------------------------------------------------------------------------/
58
59	# Performance Analysis Skill
60
61	## Kanitsal Cerceve (Evidential Frame Activation)
62	Kaynak dogrulama modu etkin.
63
64
65
66	Comprehensive performance analysis suite for identifying bottlenecks, profiling swarm operations, generating detailed reports, and providing actionable optimization recommendations.
67
68	## Overview
69
70	This skill consolidates all performance analysis capabilities:
71	- Bottleneck Detection: Identify performance bottlenecks across communication, processing, memory, and network
72	- Performance Profiling: Real-time monitoring and historical analysis of swarm operations
73	- Report Generation: Create comprehensive performance reports in multiple formats
74	- Optimization Recommendations: AI-powered suggestions for improving performance
75
76	## Quick Start
77
78	### Basic Bottleneck Detection
79	```bash
80	npx claude-flow bottleneck detect
81	```
82
83	### Generate Performance Report
84	```bash
85	npx claude-flow analysis performance-report --format html --include-metrics
86	```
87
88	### Analyze and Auto-Fix
89	```bash
90	npx claude-flow bottleneck detect --fix --threshold 15
91	```
92
93	## Core Capabilities
94
95	### 1. Bottleneck Detection
96
97	#### Command Syntax
98	```bash
99	npx claude-flow bottleneck detect [options]
100	```
101
102	#### Options
103	- `--swarm-id, -s <id>` - Analyze specific swarm (default: current)
104	- `--time-range, -t <range>` - Analysis period: 1h, 24h, 7d, all (default: 1h)
105	- `--threshold <percent>` - Bottleneck threshold percentage (default: 20)
106	- `--export, -e <file>` - Export analysis to file
107	- `--fix` - Apply automatic optimizations
108
109	#### Usage Examples
110	```bash
111	# Basic detection for current swarm
112	npx claude-flow bottleneck detect
113
114	# Analyze specific swarm over 24 hours
115	npx claude-flow bottleneck detect --swarm-id swarm-123 -t 24h
116
117	# Export detailed analysis
118	npx claude-flow bottleneck detect -t 24h -e bottlenecks.json
119
120	# Auto-fix detected issues
121	npx claude-flow bottleneck detect --fix --threshold 15
122
123	# Low threshold for sensitive detection
124	npx claude-flow bottleneck detect --threshold 10 --export critical-issues.json
125	```
126
127	#### Metrics Analyzed
128
129	Communication Bottlenecks:
130	- Message queue delays
131	- Agent response times
132	- Coordination overhead
133	- Memory access patterns
134	- Inter-agent communication latency
135
136	Processing Bottlenecks:
137	- Task completion times
138	- Agent utilization rates
139	- Parallel execution efficiency
140	- Resource contention
141	- CPU/memory usage patterns
142
143	Memory Bottlenecks:
144	- Cache hit rates
145	- Memory access patterns
146	- Storage I/O performance
147	- Neural pattern loading times
148	- Memory allocation efficiency
149
150	Network Bottlenecks:
151	- API call latency
152	- MCP communication delays
153	- External service timeouts
154	- Concurrent request limits
155	- Network throughput issues
156
157	#### Output Format
158	```
159	🔍 Bottleneck Analysis Report
160	━━━━━━━━━━━━━━━━━━━━━━━━━━━
161
162	📊 Summary
163	├── Time Range: Last 1 hour
164	├── Age

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6 picks

Type