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agent-pseudocode

Agent skill for pseudocode - invoke with $agent-pseudocode

Install with Tessl CLI

npx tessl i github:ruvnet/claude-flow --skill agent-pseudocode
What are skills?

55

Does it follow best practices?

Validation for skill structure

SKILL.md
Review
Evals

Evaluation results

79%

36%

Recommendation Engine Caching Layer

Data structure design with complexity analysis

Criteria
Without context
With context

ALGORITHM header format

0%

100%

BEGIN/END block

0%

100%

Data structure Type field

0%

0%

Data structure Purpose field

14%

14%

Operations with Big-O

20%

70%

Eviction or TTL field

100%

100%

Time complexity section

70%

100%

Space complexity section

50%

100%

Big-O variable explanation

100%

100%

Optimization Notes

66%

100%

Arrow assignment syntax

0%

100%

Language-agnostic pseudocode

50%

50%

Error handling in pseudocode

50%

83%

Data structure definitions deliverable

100%

100%

Without context: $0.2123 · 1m 5s · 9 turns · 11 in / 3,946 out tokens

With context: $0.4624 · 1m 58s · 19 turns · 26 in / 6,961 out tokens

83%

34%

API Gateway Throttling System

Algorithm patterns with CONSTANTS and design pattern documentation

Criteria
Without context
With context

PATTERN label

0%

100%

CONSTANTS block

0%

0%

No magic numbers

12%

37%

INTERFACE keyword

100%

100%

CLASS/IMPLEMENTS keywords

100%

100%

Named design pattern

100%

100%

ALGORITHM header format

0%

71%

BEGIN/END block

0%

100%

IF/THEN/END IF syntax

0%

100%

Error handling

100%

100%

Pattern identification deliverable

100%

100%

Language-agnostic syntax

75%

100%

Without context: $0.3318 · 1m 40s · 17 turns · 23 in / 5,886 out tokens

With context: $0.5385 · 2m 19s · 21 turns · 29 in / 7,970 out tokens

91%

26%

Media Content Discovery Engine

Multi-phase algorithm design with subroutines and weighted scoring

Criteria
Without context
With context

Labeled phases

100%

100%

SUBROUTINES declaration

0%

0%

Separate SUBROUTINE definitions

33%

100%

Differentiated scoring weights

100%

100%

Recency boost

100%

100%

ALGORITHM header format

14%

100%

BEGIN/END block

0%

100%

Time complexity per phase

100%

100%

Space complexity analysis

57%

100%

Optimization Notes

100%

100%

Meaningful variable names

100%

100%

Language-agnostic syntax

37%

100%

Without context: $0.2613 · 1m 29s · 11 turns · 18 in / 4,720 out tokens

With context: $0.5438 · 2m 23s · 21 turns · 27 in / 8,037 out tokens

Evaluated
Agent
Claude Code

Table of Contents

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.