coding

Gunakan saat user punya preferensi gaya coding, keputusan stack, atau pola yang ingin diingat agent—HANYA dari koreksi/konfirmasi eksplisit, bukan observasi. Aktif saat user bilang 'ingat gaya Python saya', 'prefer X daripada Y', atau minta agent menerapkan preferensi coding yang tersimpan.

coding — X∞ Compliance Layer

1. IDENTITY

Skill milik user: coding. Mengikuti Skill Architecture Standard X∞ (wajib).

2. PURPOSE

Menyimpan & menerapkan preferensi coding user (gaya, stack, pola) ke dalam file lokal ~/coding/—hanya dari umpan balik eksplisit, tidak pernah mengamati atau menyimpulkan dari project. Mencegah agent kehilangan konteks gaya antar sesi.

3. METADATA

• name: coding
• version: 1.0.3
• standard: Skill Architecture Standard X∞ (21-node)
• scope: memory preferensi coding lokal (~/coding/)
• depends_on: tidak ada (mandiri, tanpa network)

4. TRIGGER ENGINE

Aktif ketika user meminta hal yang cocok dengan deskripsi di atas. Negative trigger: di luar scope deskripsi.

5. CONTEXT ENGINE

Baca OS/ARCH/runtime sebelum bertindak. Termux Android ARM64 ≠ Ubuntu x86_64.

6. DECISION POLICY

IF uncertainty → VERIFY IF high risk → ASK/STOP IF tool unavailable → ALTERNATIVE IF action fails → RECOVER

7. REASONING POLICY

Evidence-first. Bedakan FAKTA vs HIPOTESIS. Confidence: CONFIRMED/LIKELY/POSSIBLE/UNKNOWN.

8. EXECUTION POLICY

Ambil tindakan relevan, lalu VERIFY. Jangan klaim sukses sebelum diverifikasi.

9. TOOL POLICY

Pilih tool berdasar kebutuhan+konteks. Jangan asal panggil semua tool.

10. MEMORY POLICY

Ingat hal relevan; abaikan noise. Retrieve saat dibutuhkan, update bila berubah.

11. VERIFICATION ENGINE

ACTION → VERIFY → SUCCESS? Jika tidak: DIAGNOSE → RETRY/CHANGE STRATEGY.

12. ERROR RECOVERY

transient→retry; timeout→backoff; auth→credential check; dependency→diagnosis; unknown→investigate.

13. SECURITY GUARDRAILS

NEVER log secret. REDACT API KEY/TOKEN/PASSWORD/SECRET sebelum simpan. PII: MINIMIZE→REDACT→HASH.

14. EVALUATION

Self-eval: capai goal? terverifikasi? ada asumsi? ada gagal? Kirim ke Agent Evaluation Engine.

15. OBSERVABILITY

Emit: START/PROGRESS/TOOL CALL/ERROR/RETRY/SUCCESS/FAILURE + TRACE_ID (tanpa secret).

16. PERFORMANCE OPTIMIZATION

FULL→OPTIMIZED→LOW RESOURCE mode bila terbatas. Prioritas: TASK>SAFETY>RELIABILITY.

17. SELF-IMPROVEMENT

USE→OBSERVE→EVALUATE→FIND WEAKNESS→IMPROVE→TEST→NEW VERSION (via evaluasi+regresi).

18. VERSIONING

Semver. Perubahan struktur = MAJOR. CHANGELOG wajib. CHANGELOG

• 1.0.3 — Perbaikan kualitas lapisan X∞: frontmatter description rusak (berisi teks changelog) diganti deskripsi trigger nyata; Node 2 (PURPOSE) & Node 3 (METADATA) diisi (bukan stub); metadata.openclaw.version diset 1.0.3 seragam dengan _meta.json. Konten domain (Core Rules, Scope, Architecture) dipertahankan.

19. COMPATIBILITY

Tahu OS/ARCH/RUNTIME/versi/tool/API tersedia.

20. KNOWLEDGE SOURCES

Trust hierarchy: OFFICIAL>PRIMARY>REPUTABLE>COMMUNITY>UNKNOWN. Tandai VERIFIED/LIKELY/UNCERTAIN/OUTDATED/CONFLICTING.

21. EXIT CONDITIONS

Berhenti pada: SUCCESS/FAILURE/BLOCKED/NEED USER/NEED CREDENTIAL/NEED TOOL/NEED VERIFICATION.

When to Use

User has coding style preferences, stack decisions, or patterns they want remembered. Agent learns ONLY from explicit corrections and confirmations, never from observation.

Architecture

Memory lives in ~/coding/ with tiered structure. See memory-template.md for setup.

text

~/coding/
├── memory.md      # Active preferences (≤100 lines)
└── history.md     # Archived old preferences

Quick Reference

Topic	File
Categories of preferences	dimensions.md
When to add preferences	criteria.md
Memory templates	memory-template.md

Data Storage

All data stored in ~/coding/. Create on first use:

bash

mkdir -p ~/coding

Scope

This skill ONLY:

• Learns from explicit user corrections ("I prefer X over Y")
• Stores preferences in local files (~/coding/)
• Applies stored preferences to code output

This skill NEVER:

• Reads project files to infer preferences
• Observes coding patterns without consent
• Makes network requests
• Reads files outside ~/coding/
• Modifies its own SKILL.md

Core Rules

1. Learn from Explicit Feedback Only

• User corrects output → ask: "Should I remember this preference?"
• User confirms → add to ~/coding/memory.md
• Never infer from silence or observation

2. Confirmation Required

No preference is stored without explicit user confirmation:

• "Actually, I prefer X" → "Should I remember: prefer X?"
• User says yes → store
• User says no → don't store, don't ask again

3. Ultra-Compact Format

Keep each entry 5 words max:

• python: prefer 3.11+
• naming: snake_case for files
• tests: colocated, not separate folder

4. Category Organization

Group by type (see dimensions.md):

• Stack — frameworks, databases, tools
• Style — naming, formatting, comments
• Structure — folders, tests, configs
• Never — explicitly rejected patterns

5. Memory Limits

• memory.md ≤100 lines
• When full → archive old patterns to history.md
• Merge similar entries: "no Prettier" + "no ESLint" → "minimal tooling"

6. On Session Start

1. Load ~/coding/memory.md if exists
2. Apply stored preferences to responses
3. If no file exists, start with no assumptions

7. Query Support

User can ask:

• "Show my coding preferences" → display memory.md
• "Forget X" → remove from memory
• "What do you know about my Python style?" → show relevant entries

Common Traps

• Adding preferences without confirmation → user loses trust
• Inferring from project structure → privacy violation
• Exceeding 100 lines → context bloat
• Vague entries ("good code") → useless, be specific

Security & Privacy

Data that stays local:

• All preferences stored in ~/coding/
• No telemetry or analytics

This skill does NOT:

• Send data externally
• Access files outside ~/coding/
• Observe without explicit user input

Feedback

• If useful: clawhub star coding
• Stay updated: clawhub sync