fpf:reset

Reset the FPF reasoning cycle to start fresh

23 stars

Best use case

fpf:reset is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Reset the FPF reasoning cycle to start fresh

Teams using fpf:reset should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/reset/SKILL.md --create-dirs "https://raw.githubusercontent.com/christophacham/agent-skills-library/main/skills/game-dev/reset/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/reset/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How fpf:reset Compares

Feature / Agentfpf:resetStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Reset the FPF reasoning cycle to start fresh

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# Reset Cycle

Reset the FPF reasoning cycle to start fresh.

## Action (Run-Time)

### Option 1: Soft Reset (Archive Current Session)

Create a session archive and clear active work:

1. **Create Session Archive**

Create a file in `.fpf/sessions/` to record the completed/abandoned session:

```markdown
# In .fpf/sessions/session-2025-01-15-reset.md
---
id: session-2025-01-15-reset
action: reset
created: 2025-01-15T16:00:00Z
reason: user_requested
---

# Session Archive: 2025-01-15

**Reset Reason**: User requested fresh start

## State at Reset

### Hypotheses
- L0: 2 (proposed)
- L1: 1 (verified)
- L2: 0 (validated)
- Invalid: 1 (rejected)

### Files Archived
- .fpf/knowledge/L0/hypothesis-a.md
- .fpf/knowledge/L0/hypothesis-b.md
- .fpf/knowledge/L1/hypothesis-c.md

### Decision Status
No decision was finalized.

## Notes

Session ended without decision. Hypotheses preserved for potential future reference.
```

2. **Move Active Work to Archive** (Optional)

If user wants to clear the knowledge directories:

```bash
mkdir -p .fpf/archive/session-2025-01-15
mv .fpf/knowledge/L0/*.md .fpf/archive/session-2025-01-15/ 2>/dev/null || true
mv .fpf/knowledge/L1/*.md .fpf/archive/session-2025-01-15/ 2>/dev/null || true
mv .fpf/knowledge/L2/*.md .fpf/archive/session-2025-01-15/ 2>/dev/null || true
```

3. **Report to User**

```markdown
## Reset Complete

Session archived to: .fpf/sessions/session-2025-01-15-reset.md

Current state:
- L0: 0 hypotheses
- L1: 0 hypotheses
- L2: 0 hypotheses

Ready for new reasoning cycle. Run `/fpf:propose-hypotheses` to start.
```

### Option 2: Hard Reset (Delete All)

**WARNING**: This permanently deletes all FPF data.

```bash
rm -rf .fpf/knowledge/L0/*.md
rm -rf .fpf/knowledge/L1/*.md
rm -rf .fpf/knowledge/L2/*.md
rm -rf .fpf/knowledge/invalid/*.md
rm -rf .fpf/evidence/*.md
rm -rf .fpf/decisions/*.md
```

Only do this if explicitly requested by user.

### Option 3: Decision Reset (Keep Knowledge)

If user wants to re-evaluate existing hypotheses:

1. Move L2 hypotheses back to L1 (re-audit)
2. Or move L1 hypotheses back to L0 (re-verify)

```bash
# Re-audit: L2 -> L1
mv .fpf/knowledge/L2/*.md .fpf/knowledge/L1/

# Re-verify: L1 -> L0
mv .fpf/knowledge/L1/*.md .fpf/knowledge/L0/
```

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