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Full Workflow

GPTClaudeDeepSeek··505 copies·updated 2026-07-14
full-workflow.prompt
# 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