skill-name — traitement de documents skill-name, sdlc_agentico, community, traitement de documents, ide skills, Python pour documents, scripts de ligne de commande, intégration avec des API, formats de fichiers PDF, installation de skill-name

v1.0.0

À propos de ce Skill

Parfait pour les Agents de Développement ayant besoin d'une gestion automatisée du cycle de vie du développement de logiciels. Skill-name est un outil de traitement de documents qui utilise Python et des scripts de ligne de commande

Fonctionnalités

Traitement de documents avec Python
Utilisation de scripts de ligne de commande pour des opérations déterministes
Intégration avec des API externes
Compatibilité avec des formats de fichiers tels que PDF
Exécution de scripts de traitement de documents de manière efficace

# Core Topics

arbgjr arbgjr
[0]
[0]
Updated: 3/12/2026

Killer-Skills Review

Decision support comes first. Repository text comes second.

Reference-Only Page Review Score: 10/11

This page remains useful for operators, but Killer-Skills treats it as reference material instead of a primary organic landing page.

Original recommendation layer Concrete use-case guidance Explicit limitations and caution Quality floor passed for review
Review Score
10/11
Quality Score
65
Canonical Locale
en
Detected Body Locale
en

Parfait pour les Agents de Développement ayant besoin d'une gestion automatisée du cycle de vie du développement de logiciels. Skill-name est un outil de traitement de documents qui utilise Python et des scripts de ligne de commande

Pourquoi utiliser cette compétence

Permet aux agents de rationaliser les processus et d'améliorer l'efficacité en utilisant le langage naturel et les scripts Python pour les opérations déterministes, les E/S complexes ou l'intégration d'API externes, et prend en charge des formats de fichiers tels que PDF et texte.

Meilleur pour

Parfait pour les Agents de Développement ayant besoin d'une gestion automatisée du cycle de vie du développement de logiciels.

Cas d'utilisation exploitables for skill-name

Automatiser le traitement de documents à l'aide de scripts Python
Rationaliser les cycles de vie du développement de logiciels avec des entrées de langage naturel
Intégrer des API externes pour améliorer les capacités de développement

! Sécurité et Limitations

  • Nécessite Python 3.x
  • Limité aux opérations déterministes, aux E/S complexes ou à l'intégration d'API externes pour l'utilisation de scripts

Why this page is reference-only

  • - Current locale does not satisfy the locale-governance contract.

Source Boundary

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

After The Review

Decide The Next Action Before You Keep Reading Repository Material

Killer-Skills should not stop at opening repository instructions. It should help you decide whether to install this skill, when to cross-check against trusted collections, and when to move into workflow rollout.

Labs Demo

Browser Sandbox Environment

⚡️ Ready to unleash?

Experience this Agent in a zero-setup browser environment powered by WebContainers. No installation required.

Boot Container Sandbox

FAQ & Installation Steps

These questions and steps mirror the structured data on this page for better search understanding.

? Frequently Asked Questions

What is skill-name?

Parfait pour les Agents de Développement ayant besoin d'une gestion automatisée du cycle de vie du développement de logiciels. Skill-name est un outil de traitement de documents qui utilise Python et des scripts de ligne de commande

How do I install skill-name?

Run the command: npx killer-skills add arbgjr/sdlc_agentico/skill-name. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

What are the use cases for skill-name?

Key use cases include: Automatiser le traitement de documents à l'aide de scripts Python, Rationaliser les cycles de vie du développement de logiciels avec des entrées de langage naturel, Intégrer des API externes pour améliorer les capacités de développement.

Which IDEs are compatible with skill-name?

This skill is compatible with Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use the Killer-Skills CLI for universal one-command installation.

Are there any limitations for skill-name?

Nécessite Python 3.x. Limité aux opérations déterministes, aux E/S complexes ou à l'intégration d'API externes pour l'utilisation de scripts.

How To Install

  1. 1. Open your terminal

    Open the terminal or command line in your project directory.

  2. 2. Run the install command

    Run: npx killer-skills add arbgjr/sdlc_agentico/skill-name. The CLI will automatically detect your IDE or AI agent and configure the skill.

  3. 3. Start using the skill

    The skill is now active. Your AI agent can use skill-name immediately in the current project.

! Reference-Only Mode

This page remains useful for installation and reference, but Killer-Skills no longer treats it as a primary indexable landing page. Read the review above before relying on the upstream repository instructions.

Upstream Repository Material

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

Upstream Source

skill-name

Install skill-name, an AI agent skill for AI agent workflows and automation. Review the use cases, limitations, and setup path before rollout.

SKILL.md
Readonly
Upstream Repository Material
The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.
Supporting Evidence

Skill Name

Philosophy: Default to natural language. Use scripts ONLY for deterministic operations, complex I/O, or external API integration.

Quick Start

[Concise example showing the most common use case - assume Claude is smart]

Example:

bash
1# Process document 2python3 scripts/process.py input.pdf --output result.txt

When to Use This Skill

Use this skill when:

  • [Specific scenario 1]
  • [Specific scenario 2]
  • [Keyword trigger mentioned by user]

DO NOT use when:

  • [Alternative approach is better]

Core Workflows

Workflow 1: [Name]

Use when: [Specific trigger or scenario]

Steps:

  1. [Natural language instruction - be specific]
  2. [Conditional logic: If X, then Y; else Z]
  3. [Verification step]

Example:

markdown
11. Check if document exists: `ls docs/*.pdf` 22. If PDF found: Extract text using `scripts/extract.py` 33. If no PDF: Search for DOCX alternatives 44. Validate output has non-zero size

Common Issues:

  • Problem: [What goes wrong]
  • Solution: [How to fix it]

Workflow 2: [Name]

[Follow same pattern as Workflow 1]


Reference Documentation

For detailed information, see:

Note: Claude loads these files ONLY when needed (progressive disclosure).


Scripts (ONLY when justified)

script-name.py

Why this script is needed: [ONE of these justifications]:

  • ✅ Deterministic validation (e.g., schema validation, syntax checking)
  • ✅ External API integration (e.g., GitHub API, third-party service)
  • ✅ Complex I/O operation (e.g., scanning thousands of files, binary parsing)
  • ✅ Safety-critical operation (e.g., git worktree, database migrations)
  • NOT for: Pattern matching, text analysis, conditional logic (Claude is better)

Usage:

bash
1python3 scripts/script-name.py --arg value

Arguments:

  • --arg: Description

Output:

Expected output format

Error Handling: Script handles these errors explicitly (doesn't punt to Claude):

  • Missing input file → Creates default
  • Permission denied → Uses alternative path
  • Network timeout → Retries with backoff

validation-script.sh

Why needed: [Justification - e.g., "Bash validation faster than Python for simple checks"]

Usage:

bash
1./scripts/validation-script.sh file.txt

Returns:

  • Exit code 0: Valid
  • Exit code 1: Invalid (with error message)

Testing

Run Tests

bash
1# Unit tests 2pytest tests/unit/ -v 3 4# Integration tests 5pytest tests/integration/ -v 6 7# Specific test 8pytest tests/test_specific.py::test_function -v

Test Coverage

Current coverage: XX%

bash
1pytest --cov=scripts --cov-report=html 2open htmlcov/index.html

Examples

Example 1: [Common Use Case]

Scenario: [Describe the situation]

Input:

[What user provides]

Process:

markdown
11. Claude reads input 22. Validates format 33. Calls script if needed: `python3 scripts/process.py` 44. Formats output

Output:

[What user gets]

Example 2: [Edge Case]

[Same structure as Example 1]


Integration

With Other Skills

This skill integrates with:

  • skill-a: Use after this skill for [purpose]
  • skill-b: Call this skill if [condition]

With Agents

Agents that use this skill:

  • agent-x (Phase Y): Uses for [specific task]
  • agent-z (Phase W): Calls during [workflow step]

Configuration

Environment Variables

VariableRequiredDefaultDescription
VAR_NAMENodefaultWhat this controls

Settings File

Create ~/.config/skill-name/settings.yml:

yaml
1option1: value1 2option2: value2

Troubleshooting

Common Issues

Issue: Script fails with "Module not found"

Solution:

bash
1pip install required-package

Issue: Permission denied

Solution:

bash
1chmod +x scripts/*.sh 2chmod +x scripts/*.py

Issue: Output is empty

Solution: Check input file format. Expected: [format description]


Development

Adding New Features

  1. Create feature branch
  2. Add tests FIRST (TDD)
  3. Implement in natural language if possible
  4. Add script ONLY if justified
  5. Update SKILL.md
  6. Run tests: pytest -v

Code Style

  • Natural language: Clear, concise, assume Claude is smart
  • Python: PEP 8, type hints, docstrings
  • Bash: ShellCheck compliant

Changelog

v1.0.0 (YYYY-MM-DD)

  • Initial release
  • Core workflows implemented
  • [Feature X] added

References


Anti-Patterns to Avoid

DON'T:

  • Create scripts for pattern matching (Claude is better)
  • Write Python for simple Bash operations
  • Add dependencies without justification
  • Create "utils" or "helpers" (be specific)

DO:

  • Default to natural language instructions
  • Use progressive disclosure for > 500 lines
  • Document why each script is needed
  • Test with Claude before assuming script is needed

Skill maintained by: [Team/Person] Last updated: YYYY-MM-DD Questions: Contact [channel/person]

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