reflexion

Implement reflexion loops for self-critique, learning from failures, and continuous agent improvement

Repositorio: mohitmishra786/aurora-dev
Última actividad en el origen: 14 de febrero de 2026 a las 10:22
Idioma detectado de SKILL.md: inglés
Estrellas: 0
Forks: 0

Opciones de instalación

De forma predeterminada está seleccionado el prompt que primero revisa el origen. Puedes cambiar a un comando directo o descargar una copia local.

Instalar con Codex o Claude Copia este prompt, pégalo en Codex, Claude u otro asistente, y deja que revise la página de la skill y la instale por ti.

Un comando directo omite el prompt de revisión. Revisa el origen antes de ejecutarlo.

npx skills add https://github.com/mohitmishra786/aurora-dev --skill reflexion

El comando permanece en una sola línea. Desplázate horizontalmente para revisarlo antes de copiarlo.

¿Prefieres una copia local? Descarga los archivos que SkillsMP tiene disponibles ahora.

Revisa los archivos de origen

Lee SKILL.md y los archivos complementarios que muestra SkillsMP antes de decidir si quieres instalarlo.

SKILL.md

Instrucciones de origen · Vista previa de solo lectura

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information_gathered:
  - Original task description
  - Agent's approach
  - Code/output produced
  - Test results
  - Error messages
  - Stack traces
  - Performance metrics

You attempted to complete this task:
{task_description}

Your approach was:
{approach_taken}

The code you wrote:
{code}

Test results:
{test_results}

Errors encountered:
{errors}

Performance metrics:
{metrics}

This was attempt #{attempt_number}.

Provide a detailed reflection:

1. ROOT CAUSE ANALYSIS
- What exactly went wrong?
- Why did it happen?
- What was fundamental error in reasoning?

2. INCORRECT ASSUMPTIONS
- What did you assume that was wrong?
- What did you overlook?
- What edge cases did you miss?

3. ALTERNATIVE APPROACHES
- What should you try differently?
- What patterns or techniques would work better?
- What additional validation is needed?

4. GENERALIZABLE LEARNINGS
- What lesson applies to similar tasks?
- What pattern should you remember?
- What should you check for next time?

Be specific and actionable. Focus on what to change, not just what went wrong.

root_cause:
  technical: str
  reasoning: str

incorrect_assumptions:
  - assumption: str
    why_wrong: str
    correct_approach: str

improved_strategy:
  approach: str
  implementation_steps: [str]
  validation_plan: str

lessons_learned:
  - lesson: str
    applicability: str
    pattern_name: str

root_cause:
  technical: Passwords stored without hashing
  reasoning: Didn't consider security best practices

incorrect_assumptions:
  - "Simple storage is acceptable" → Wrong
  - "Application-level security sufficient" → Wrong

improved_strategy:
  approach: Use bcrypt for password hashing
  implementation:
    - Hash password before storing
    - Use high cost factor (12+)
    - Add salt automatically
    - Never retrieve or log passwords
  validation:
    - Security audit
    - Penetration testing
    - Check against OWASP guidelines

lessons_learned:
  - Always hash passwords (bcrypt, Argon2)
  - Never store sensitive data in plain text
  - Security audit before deployment
  - Follow OWASP authentication guidelines

name: secure_password_storage
description: Hash passwords with bcrypt
implementation: |
  import bcrypt
  
  def hash_password(password: str) -> str:
    salt = bcrypt.gensalt(rounds=12)
    return bcrypt.hashpw(password.encode(), salt).decode()
  
  def verify_password(password: str, hash: str) -> bool:
    return bcrypt.checkpw(password.encode(), hash.encode())
applies_to:
  - User authentication
  - Password reset
  - Any credential storage

name	reflexion
description	Implement reflexion loops for self-critique, learning from failures, and continuous agent improvement
license	MIT
compatibility	opencode
metadata	{"audience":"ai-researchers","workflow":"learning"}

name	reflexion
description	Implement reflexion loops for self-critique, learning from failures, and continuous agent improvement
license	MIT
compatibility	opencode
metadata	{"audience":"ai-researchers","workflow":"learning"}

reflexion

Opciones de instalación

Revisa los archivos de origen

What I Do

Core Responsibilities

What I Do

Core Responsibilities

When to Use Me

Reflexion Pattern

When Triggered

Process

Example Reflexion

Best Practices

What I Learn

reflexion

Datos de origen

Opciones de instalación

Revisa los archivos de origen

Más de este repositorio

Más de este repositorio

What I Do

Core Responsibilities

What I Do

Core Responsibilities

When to Use Me

Reflexion Pattern

When Triggered

Process

Example Reflexion

Best Practices

What I Learn