How to install reset
npx skills add https://github.com/neolabhq/context-engineering-kit --skill resetFull instructions (SKILL.md)
Source of truth, from neolabhq/context-engineering-kit.
name: reset description: "Reset the FPF reasoning cycle to start fresh"
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:
- Create Session Archive
Create a file in .fpf/sessions/ to record the completed/abandoned session:
# 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.
- Move Active Work to Archive (Optional)
If user wants to clear the knowledge directories:
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
- Report to User
## 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.
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:
- Move L2 hypotheses back to L1 (re-audit)
- Or move L1 hypotheses back to L0 (re-verify)
# Re-audit: L2 -> L1
mv .fpf/knowledge/L2/*.md .fpf/knowledge/L1/
# Re-verify: L1 -> L0
mv .fpf/knowledge/L1/*.md .fpf/knowledge/L0/
Related skills
More from neolabhq/context-engineering-kit and the wider catalog.
prompt-engineering
Use this skill when you writing commands, hooks, skills for Agent, or prompts for sub agents or any other LLM interaction, including optimizing prompts, improving LLM outputs, or designing production prompt templates.
context-engineering
Understand the components, mechanics, and constraints of context in agent systems. Use when writing, editing, or optimizing commands, skills, or sub-agents prompts.
thought-based-reasoning
Use when tackling complex reasoning tasks requiring step-by-step logic, multi-step arithmetic, commonsense reasoning, symbolic manipulation, or problems where simple prompting fails - provides comprehensive guide to Chain-of-Thought and related prompting techniques (Zero-shot CoT, Self-Consistency, Tree of Thoughts, Least-to-Most, ReAct, PAL, Reflexion) with templates, decision matrices, and research-backed patterns
reflect
Reflect on previus response and output, based on Self-refinement framework for iterative improvement with complexity triage and verification
update-docs
Update and maintain project documentation for local code changes using multi-agent workflow with tech-writer agents. Covers docs/, READMEs, JSDoc, and API documentation.
multi-agent-patterns
Design multi-agent architectures for complex tasks. Use when single-agent context limits are exceeded, when tasks decompose naturally into subtasks, or when specializing agents improves quality.