home / skills / laurigates / claude-plugins / project-skill-scripts

project-skill-scripts skill

/project-plugin/skills/project-skill-scripts

This skill analyzes plugin skills to identify performance opportunities and generates supporting scripts that reduce tokens and speed execution.

npx playbooks add skill laurigates/claude-plugins --skill project-skill-scripts

Review the files below or copy the command above to add this skill to your agents.

Files (1)
SKILL.md
4.6 KB
---
model: opus
name: project-skill-scripts
description: Analyze plugin skills to identify opportunities where supporting scripts would improve performance (fewer tokens, faster execution, consistent results), then optionally create those scripts.
args: "[--analyze] [--create <plugin/skill>] [--all]"
allowed-tools: Bash(chmod *), Bash(mkdir *), Read, Write, Edit, Glob, Grep, TodoWrite
argument-hint: "--analyze | --create git-plugin/git-commit-workflow | --all"
created: 2026-01-24
modified: 2026-02-14
reviewed: 2026-02-14
---

# /project:skill-scripts

Analyze plugin skills to identify opportunities where supporting scripts would improve performance (fewer tokens, faster execution, consistent results), then optionally create those scripts.

## When to Use This Skill

| Use this skill when... | Use alternative when... |
|------------------------|--------------------------|
| Analyzing skill improvement opportunities | Need to create a single script for a skill |
| Bulk script creation across plugins | One-off script for one specific need |
| Measuring coverage of scripts across portfolio | Script generation is already done |

## Context

- Plugin root: !`git rev-parse --show-toplevel 2>/dev/null || echo './'`
- Total plugins: !`find . -maxdepth 2 -name 'plugin.json' -type f 2>/dev/null`
- Skills with scripts: !`find . -name 'scripts/*.sh' -type f 2>/dev/null`

## Parameters

Parse `$ARGUMENTS` for:

- `--analyze`: Scan all skills, report candidates (default)
- `--create <plugin/skill>`: Create script for specific skill only
- `--all`: Analyze and create scripts for all high-scoring candidates

## Execution

Execute this skill script analysis and creation workflow:

### Step 1: Run analysis script

Execute analyzer to get structured data on all skills:

1. Run analyzer: `bash "${CLAUDE_PLUGIN_ROOT}/skills/project-discovery/scripts/analyze-skills.sh" $(git rev-parse --show-toplevel 2>/dev/null || echo '.')`
2. Parse output to identify:
   - Current coverage (skills with scripts)
   - High-scoring candidates (score >= 8)
   - Script type recommendations

### Step 2: Analyze candidates (--create or --all modes)

For each candidate skill:

1. Read SKILL.md to understand the workflow
2. Identify script opportunity patterns:
   - Multiple sequential git/gh commands → context-gather script
   - Multi-phase workflow → workflow script
   - Project type detection + conditional execution → multi-tool script
   - Repeated command with different args → utility script
3. Evaluate benefit: >= 4 tool calls, consistency, error handling, reuse frequency
4. Skip if: single simple commands, interactive/creative, already well-structured

### Step 3: Create scripts

For approved candidates:

1. Use standard script template with structured output (KEY=value, section markers)
2. Follow design principles: structured output, error resilience, bounded output, portable
3. Place in `<plugin>/skills/<skill-name>/scripts/<script-name>.sh`
4. Make executable: `chmod +x <path>`
5. Update SKILL.md with "Recommended" section referencing the script
6. Update `modified:` date in frontmatter

### Step 4: Report results

Present findings:
- Current coverage (X/Y skills have scripts)
- Scripts created (plugin, skill, script, type, commands replaced)
- Remaining candidates (plugin, skill, score, type, recommendation)
- Next steps (test, commit)

### Step 5: Commit changes

If scripts created:

```
feat(<affected-plugins>): add supporting scripts to skills
```

Include in body:
- Which scripts were created
- What they replace (token/call savings)
- Which SKILL.md files were updated

## Examples

### Analyze Only

```
$ /project:skill-scripts --analyze

Skill Scripts Analysis

Current Coverage: 5/191 skills have supporting scripts

Top Candidates:
  git-plugin/gh-cli-agentic         score=14  type=context-gather
  kubernetes-plugin/kubectl-debugging score=12  type=multi-tool
  testing-plugin/playwright-testing   score=10  type=workflow
```

### Create for Specific Skill

```
$ /project:skill-scripts --create testing-plugin/playwright-testing

Analyzing testing-plugin/playwright-testing...
Found: 6 bash blocks, 3 phases, 12 commands

Creating scripts/run-tests.sh...
- Consolidates: test discovery, execution, report parsing
- Replaces: 5 individual tool calls
- Output: structured test results with file:line references

Updated SKILL.md with "Recommended" section.
```

## Error Handling

| Situation | Action |
|-----------|--------|
| Skill has no bash patterns | Skip, report "no script opportunity" |
| Script already exists | Report existing, ask to overwrite |
| SKILL.md is read-only | Report error, suggest manual update |
| Plugin not found | List available plugins |

Overview

This skill analyzes plugin skills to identify where supporting shell scripts will reduce token use, speed execution, and deliver consistent results. It can run a full portfolio scan to report high-value candidates and optionally generate portable, resilient scripts into plugin skill folders.

How this skill works

The analyzer scans the repository for skills and existing scripts, scores each skill for script opportunity, and recommends types (context-gather, workflow, multi-tool, utility). For creation, it reads the skill documentation, detects bash patterns and command sequences, and emits templated scripts with structured KEY=value output, error handling, and bounded logs.

When to use it

  • Assess many plugins to find where scripts will provide measurable ROI
  • Create multiple scripts in bulk across a portfolio of skills
  • Measure current script coverage and prioritize high-scoring candidates
  • Avoid when you only need one one-off script or scripts already exist
  • Use instead of ad-hoc command snippets to improve reproducibility

Best practices

  • Prefer structured output (KEY=value and section markers) to ease parsing
  • Design for error resilience: clear exit codes, retries, and timeouts
  • Keep scripts portable: POSIX-friendly shell, minimal external deps
  • Limit output size and redact secrets to reduce token consumption
  • Update SKILL.md with a Recommended section and modified date

Example use cases

  • Scan all plugins to produce a ranked list of script candidates and coverage metrics
  • Generate a context-gather script that consolidates multiple git/gh calls for a complex skill
  • Create a multi-tool script that detects project type and runs appropriate build/test commands
  • Replace repeated command sequences with a utility script to enforce consistent flags and error handling
  • Report remaining high-scoring candidates so maintainers can prioritize testing and commits

FAQ

How does scoring decide which skills get scripts?

Scoring favors skills with many tool calls, multi-phase workflows, repeated commands, or frequent reuse patterns; a score >= 8 marks high priority.

Will the tool overwrite existing scripts?

It reports existing scripts and prompts or skips by default; overwrite requires explicit approval.