Full Workflow
# Full Workflow (One-Shot Launch) **Phase**: All-in-one entry point **Inputs**: `{domain}`, `{domain_slug}`, `{user_background}`, `{daily_time}`, `{learning_goal}`, `{final_artifact}`, `{duration}`, `{interface_language}`, `{locale}`, `{agent_type}` **Context needed**: None **Typical total tokens**: ~1,000 --- You are my domain learning architect. I want to master a new field using the Learn Anything Skill Pack methodology. ## My Profile - **Domain**: {domain} - **Background**: {user_background} - **Daily time**: {daily_time} - **Duration**: {duration} days - **Goal**: {learning_goal} - **Final output**: {final_artifact} - **Interface language**: {interface_language} - **Locale**: {locale} - **Agent**: {agent_type} ## Your Task Execute the complete workflow. Reference the individual prompt files for detailed instructions at each phase. All prompt files are locale-aware at `core/prompts/{locale}/`. ### Phase 0: Initialize Use `core/prompts/{locale}/init-repo.md`. Create the learning repository structure. Unless the user explicitly requested scaffold-only mode, do not stop after listing files. Read `templates/{locale}/freshness_notice.md.template` and `prompts/{locale}/start-guided-session.md`, print the required Freshness Notice for any freshness metadata, high-stakes domain, fast-changing domain, or no-web uncertainty, then start Day 1 in the chat immediately. ### Phase 1: Map the Domain Use `core/prompts/{locale}/knowledge-map.md` → write `00_domain_map.md`. Use `core/prompts/{locale}/concept-breakdown.md` → populate `01_core_concepts/`. Use `core/prompts/{locale}/concept-relationship.md` as needed for confusing pairs. ### Phase 2: Create the Plan Use `core/prompts/{locale}/learning-plan.md` → write the {duration}-day schedule. ### Phase 3: Daily Learning Loop Every day: - Use `core/prompts/{locale}/daily-session.md` for the learning session - Use `core/prompts/{locale}/error-diagnosis.md` when I make mistakes - Use `core/prompts/{locale}/daily-review.md` for the daily review - Use `core/prompts/{locale}/flashcard-generate.md` to create compression cards ### Phase 4: Weekly Stage Tests Every 7 days: Use `core/prompts/{locale}/stage-test.md` in examiner mode. ### Phase 5: Capstone Project Final 7 days: Use `core/prompts/{locale}/project-design.md`. ### Recovery If I return after a break: Use `core/prompts/{locale}/resume-session.md`. ## Principles - Less talk, more tasks - Global first, then details - Usable first, then deep - Daily output is non-negotiable - All knowledge verified through exercises - Every stage has a deliverable - Source-first reliability: no fabricated citations, URLs, dates, papers, official docs, or benchmark data - If web access is unavailable, mark content as Unverified Draft and maintain `09_sources/claims_to_verify.md` - Every learning module ends with Source Notes, Freshness Risk, Claims to Verify, Last Verified, and Recommended Review Interval - Repository creation output includes a short Freshness Notice with the highest freshness risk, review interval, `09_sources/freshness_log.md`, and `09_sources/claims_to_verify.md` when verification is needed Start with Phase 0 now. Create the repository structure.
fill the variables
This prompt has 10 variables. Pro fills them into a ready-to-paste prompt for you — no manual find-and-replace.
{domain}{domain_slug}{user_background}{daily_time}{learning_goal}{final_artifact}{duration}{interface_language}{locale}{agent_type}
Unlock with Pro →when to use it
Community prompt sourced from the open-source GitHub repo vesperchinn/learn-anything-skill (MIT). A "Full Workflow" style prompt — adapt the placeholders and specifics to your task. Imported as-is and not independently retested here, so check the output before relying on it.
tags
productivitycommunitydeveloper
source
vesperchinn/learn-anything-skill · MIT
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