{"id":50686226,"url":"https://github.com/jezreal-dev/prompt-engineering-piscine","last_synced_at":"2026-06-08T23:03:36.769Z","repository":{"id":340622675,"uuid":"1164726352","full_name":"jezreal-dev/prompt-engineering-piscine","owner":"jezreal-dev","description":null,"archived":false,"fork":false,"pushed_at":"2026-05-08T14:59:36.000Z","size":5345,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"main","last_synced_at":"2026-06-06T03:22:28.505Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/jezreal-dev.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null,"notice":null,"maintainers":null,"copyright":null,"agents":null,"dco":null,"cla":null}},"created_at":"2026-02-23T12:16:03.000Z","updated_at":"2026-05-08T14:59:40.000Z","dependencies_parsed_at":null,"dependency_job_id":null,"html_url":"https://github.com/jezreal-dev/prompt-engineering-piscine","commit_stats":null,"previous_names":["jmomoh-source/prompt-engineering-piscine","jezreal-dev/prompt-engineering-piscine"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/jezreal-dev/prompt-engineering-piscine","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jezreal-dev%2Fprompt-engineering-piscine","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jezreal-dev%2Fprompt-engineering-piscine/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jezreal-dev%2Fprompt-engineering-piscine/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jezreal-dev%2Fprompt-engineering-piscine/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/jezreal-dev","download_url":"https://codeload.github.com/jezreal-dev/prompt-engineering-piscine/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jezreal-dev%2Fprompt-engineering-piscine/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":34083848,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-26T15:22:16.424Z","status":"online","status_checked_at":"2026-06-08T02:00:07.615Z","response_time":111,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2026-06-08T23:03:35.776Z","updated_at":"2026-06-08T23:03:36.762Z","avatar_url":"https://github.com/jezreal-dev.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Prompt Engineering Piscine\n\n![Python](https://img.shields.io/badge/language-Python-blue?logo=python)\n![License](https://img.shields.io/badge/license-MIT-green)\n![Status](https://img.shields.io/badge/status-Complete-brightgreen)\n\nA portfolio of **hands-on prompt engineering quests** completed as part of the **Learn2Earn Academy AI Piscine** (Feb–Mar 2026).  \nThis repository showcases skills in ethical AI use, creative prompt design, debugging, reasoning flows, and role-based prompting — documented in Markdown with supporting Python code.\n\n---\n\n## 📂 Quest Overview\n\n| Quest | Focus Area |\n|-------|------------|\n| [prompt-basics](./prompt-basics) | Prompt structure, zero-shot vs few-shot, parameters |\n| [role-prompts](./role-prompts) | Persona simulation, tone variation, mentoring |\n| [reasoning-flow](./reasoning-flow) | Chain-of-thought, step-by-step logic, multi-step reasoning |\n| [prompt-patterns](./prompt-patterns) | Reusable templates, summarization, data extraction |\n| [debug-control](./debug-control) | Detecting hallucinations, source constraints, delimiters |\n| [tool-prompts](./tool-prompts) | Structured JSON, simulated API calls, agent workflows |\n| [creative-ai](./creative-ai) | Storytelling, resume writing, image prompt design |\n| [ai-ethics](./ai-ethics) | Bias detection, ethical prompt design, harmful output mitigation |\n| [ethical-ai](./ethical-ai) | AI as learning amplifier, fairness contract, irreplaceable skills |\n\n---\n\n## 🎯 Key Skills Developed\n- Designing prompts that produce consistent, structured, reliable outputs  \n- Using chain-of-thought techniques to expose reasoning and verify answers  \n- Extracting structured JSON data from unstructured text  \n- Identifying and mitigating bias and hallucinations in AI outputs  \n- Building reusable prompt templates across domains  \n- Simulating multi-step agent workflows with chained prompts  \n- Applying ethical principles to AI use in learning and production contexts  \n\n---\n\n## 🛠️ Tools \u0026 Environment\n- **Language:** Python 3.12.3  \n- **Environment:** Conda, JupyterLab  \n- **Interfaces:** OpenAI, Anthropic  \n- **Version Control:** Git + GitHub  \n\n### 🔧 Step-by-Step Setup Guide\n\n1. **Install Miniconda or Anaconda**  \n   - [Download Miniconda](https://docs.conda.io/en/latest/miniconda.html) or [Anaconda](https://www.anaconda.com/download).  \n\n2. **Open your terminal (or Anaconda Prompt on Windows).**\n\n3. **Create a new virtual environment**  \n   Replace `piscine` with any name you prefer:\n   ```bash\n   conda create --name piscine python=3.12\n   ```\n\n4. **Activate the environment**\n   ```bash\n   conda activate piscine\n   ```\n\n5. **Install required dependencies**\n   ```bash\n   conda install numpy pandas jupyter\n   ```\n\n6. **Verify installation**\n   ```bash\n   python --version\n   python -c \"import numpy, pandas, jupyter; print('Libraries imported successfully!')\"\n   ```\n\n7. **Deactivate when done**\n   ```bash\n   conda deactivate\n   ```\n\n**Tip:** You can list all environments with:\n```bash\nconda env list\n```\n\n---\n\n## 🏅 Milestone\n- **Prompt Piscine #310**  \n  *Succeeded* — 09 Feb 2026 → 02 Mar 2026  \n\n---\n\n## 📖 Approach\nEvery quest followed the same workflow:  \n**Attempt independently → Test and document → Use AI strategically → Reflect**  \n\nAI was used as a **learning amplifier** — to deepen understanding, surface edge cases, and explore alternatives — not as a replacement for independent thinking.\n\n---\n\n## 🎓 Portfolio Value\nThis repo demonstrates **prompt engineering mastery** across ethics, creativity, debugging, and reasoning.  \nTogether with [piscine-go-portfolio](https://github.com/jmomoh-source/piscine-go-portfolio), it forms a **comprehensive showcase** of both programming and AI prompting skills.\n\n---\n\n## 📬 Contact \u0026 Feedback\nI welcome feedback, collaboration, or opportunities to apply these skills in real-world projects.  \n\n[![Email](https://img.shields.io/badge/ContactMe-blue)](mailto:jezreelmomoh1234@gmail.com)\n\n\n---\n\n**Status:** Complete and Production-Ready  \n**Author:** Jezreal Momoh @Learn2EarnNG AI Piscine\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjezreal-dev%2Fprompt-engineering-piscine","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fjezreal-dev%2Fprompt-engineering-piscine","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjezreal-dev%2Fprompt-engineering-piscine/lists"}