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bird-chinese-community/BIRD.skills

BIRDCC agent skills registry

O que é BIRD.skills?

BIRD.skills is a Claude Code agent skill that bIRDCC agent skills registry.

Funciona com~Claude Code~Codex CLI~Cursor
npx skills add bird-chinese-community/BIRD.skills

Installed? Explore more Pesquisa e Análise de Dados skills: obra/superpowers, affaan-m/quarkus-verification, affaan-m/uspto-database · View all 6 →

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OpenAIChatGPTClaudeClaudeGeminiGeminiGrokGrokPerplexityPerplexityDeepSeekDeepSeek

Documentação

Brief overview of what this skill does.

When to use this skill

  • The user asks about ...
  • The user wants to ...

Core principles

  1. Principle one. Explain the rule.
  2. Principle two. Explain the rule.

Available scripts

These scripts are bundled with the skill. Run them with uv run scripts/<script>.py from the skill root. They use only the Python standard library and produce structured JSON output on stdout.

Reference guides

Output style

  • Match the user's language.
  • Keep explanations concise and actionable.

Habilidades Relacionadas

obra/superpowers

Agent skill repository discovered by 10x-chat research.

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affaan-m/quarkus-verification

Verification loop for Quarkus projects: build, static analysis, tests with coverage, security scans, native compilation, and diff review before release or PR.

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affaan-m/uspto-database

USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.

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affaan-m/scholar-evaluation

Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.

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affaan-m/literature-review

Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.

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affaan-m/research-ops

Evidence-first current-state research workflow for ECC. Use when the user wants fresh facts, comparisons, enrichment, or a recommendation built from current public evidence and any supplied local context.

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