Skip to content
cccskills
FreePublished on GitHub

actualize

Reconcile the project's FPF state with recent repository changes

The English summary is being prepared. Showing the original description.

See how to install

Files included (1)

  • SKILL.md3.6 KB

SKILL.md (original)

Review the instructions the agent will receive before you install.

Actualize Knowledge Base

This command is a core part of maintaining a living assurance case. It keeps your FPF knowledge base (.fpf/) in sync with the evolving reality of your project's codebase.

The command performs a three-part audit against recent git changes to surface potential context drift, stale evidence, and outdated decisions. This aligns with the Observe phase of the FPF Canonical Evolution Loop (B.4) and helps manage Epistemic Debt (B.3.4).

Action (Run-Time)

Step 1: Check Git Changes

Run git commands to identify changes since last actualization:

# Get current commit hash
git rev-parse HEAD

# Check for changes since last known baseline
# (Read .fpf/.baseline file if it exists, otherwise use initial commit)
git diff --name-only <baseline_commit> HEAD

# List all changed files
git diff --stat <baseline_commit> HEAD

Step 2: Analyze Report for Context Drift

  1. Review changed files for core project configuration:

    • package.json, go.mod, Cargo.toml, requirements.txt
    • Dockerfile, docker-compose.yml
    • .env.example, config files
  2. If configuration files changed:

    • Re-read project structure (README, config files)
    • Compare detected context with .fpf/context.md
    • Present diff to user
  3. Ask user if they want to update context.md

Step 3: Analyze Report for Evidence Staleness (Epistemic Debt)

  1. Read all evidence files in .fpf/evidence/
  2. Check carrier_ref field in each evidence file
  3. Cross-reference with changed files from git diff
  4. If a referenced file changed:
    • Flag the evidence as STALE
    • Note which hypothesis is affected

Step 4: Analyze Report for Decision Relevance

  1. Read all DRR files in .fpf/decisions/
  2. Trace back to source evidence and hypothesis files
  3. If foundational files changed:
    • Flag the DRR as POTENTIALLY OUTDATED

Step 5: Update Baseline

Create/update .fpf/.baseline file:

# FPF Actualization Baseline
# Last actualized: 2025-01-15T16:00:00Z
commit: abc123def456

Step 6: Present Findings

Output a structured report:

## Actualization Report

**Baseline**: abc123 (2025-01-10)
**Current**: def456 (2025-01-15)
**Files Changed**: 42

### Context Drift

The following configuration files have changed:
- package.json (+5 dependencies)
- Dockerfile (base image updated)

**Action Required**: Review and update `.fpf/context.md` if constraints have changed.

### Stale Evidence (3 items)

| Evidence | Hypothesis | Changed File |
|----------|------------|--------------|
| ev-benchmark-api | api-optimization | src/api/handler.ts |
| ev-test-auth | auth-module | src/auth/login.ts |
| ev-perf-db | db-indexing | migrations/002.sql |

**Action Required**: Re-validate to refresh evidence for affected hypotheses.

### Decisions to Review (1 item)

| DRR | Affected By |
|-----|-------------|
| DRR-2025-01-10-api-design | src/api/handler.ts changed |

**Action Required**: Consider re-evaluating decision via `/fpf:propose-hypotheses`.

### Summary

- Context drift detected: YES
- Stale evidence: 3 items
- Decisions to review: 1 item

Run `/fpf:decay` for detailed freshness management.

File: .fpf/.baseline

Track the last actualization point:

# FPF Actualization Baseline
last_actualized: 2025-01-15T16:00:00Z
commit: abc123def456789
branch: main

When to Run

  • Before starting new work: Ensure knowledge base is current
  • After major changes: Sync evidence with code changes
  • Weekly maintenance: Part of regular hygiene
  • Before decisions: Ensure evidence is still valid

Reviews

No reviews yet. Tell others what you thought.

Comments

No login needed. Share how it worked for you, ask a question, or note where it did not run.

No comments yet. Be the first to write one.

Comments are published right away. Do not include personal information such as email addresses or phone numbers. Up to 2 URLs.

0 / 1,000 characters

This form is protected by reCAPTCHA, and the Google Privacy Policy and Terms of Service apply.

More skills from this repository

creates draft task file in .specs/tasks/draft/ with original user intent

The English summary is being prepared. Showing the original description.

NeoLabHQ/context-engineering-kit1.8KUpdated Aug 27, 2026

Evaluate and improve Claude Code commands, skills, and agents. Use when testing prompt effectiveness, validating context engineering choices, or measuring improvement quality.

The English summary is being prepared. Showing the original description.

NeoLabHQ/context-engineering-kit1.8KUpdated Aug 27, 2026

Auto-selects best Kaizen method (Gemba Walk, Value Stream, or Muda) for target

The English summary is being prepared. Showing the original description.

NeoLabHQ/context-engineering-kit1.8KUpdated Aug 27, 2026

Comprehensive A3 one-page problem analysis with root cause and action plan

The English summary is being prepared. Showing the original description.

NeoLabHQ/context-engineering-kit1.8KUpdated Aug 27, 2026

Analyze a GitHub issue and create a detailed technical specification

The English summary is being prepared. Showing the original description.

NeoLabHQ/context-engineering-kit1.8KUpdated Aug 27, 2026

Comprehensive guide for skill development based on Anthropic's official best practices - use for complex skills requiring detailed structure

The English summary is being prepared. Showing the original description.

NeoLabHQ/context-engineering-kit1.8KUpdated Aug 27, 2026

See all skills by NeoLabHQ

Report a problem with this skill