القائمة
Use for /wf-learn in Claude Code, $wf-learn or /skills wf-learn in Codex, or when the user wants a learning cycle from repeated errors, corrections, patterns, or session history.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
Built-in browser automation and E2E verification workflow. Use for Claude /wf-browser, Codex $wf-browser or /skills wf-browser, Browser Use, Playwright, Chrome DevTools/CDP, screenshots, forms, UI verification, and browser-visible acceptance.
Codex compatibility: use $wf-help or /skills wf-help in Codex to show the Harness WF command table. Claude Code and OpenCode use the direct /wf-help command.
Use for /wf-max in Claude Code, $wf-max or /skills wf-max in Codex. WF-MAX is explicit only — the user must type /wf-max, $wf-max, or /skills wf-max.
Use when work needs bounded subagent coordination, parallel read-only exploration, independent review gates, broad context partitioning, or controlled handoffs.
Test-driven development. Use when the user wants to build features or fix bugs test-first, mentions "red-green-refactor", or wants integration tests.
Source-backed CLI invocation guide for Claude Code, Codex, and OpenCode automation. Use when invoking peer CLIs, writing batch tests, collecting cache telemetry, debugging command-line flags, or documenting cross-runtime agent usage for Harness workflows.
| name | wf-learn |
| description | Use for /wf-learn in Claude Code, $wf-learn or /skills wf-learn in Codex, or when the user wants a learning cycle from repeated errors, corrections, patterns, or session history. |
Force a memory learning cycle. Context-master analyzes; memory-master consolidates. Use the active runtime's available subagent mechanism when present, otherwise emulate the same roles as bounded passes and record that fallback.
Note: Explicit user preferences (remember/next time/never/always/记住/下次/不要再) can be written immediately via candidate detection without waiting for /wf-learn. /wf-learn is for proactive pattern consolidation and closeout extraction.
Harness/MEMORY.mdHarness/memory/routes.mdHarness/memory/startup-hints.mdHarness/memory/tool-usage-reflections.mdHarness/memory/user-corrections-preferences.mdHarness/memory/agent-lessons-patterns.mdHarness/PROGRESS.md and active task capsule, if anyFollow Harness/specs/runtime/context-loading.md#Cache-First Context Contract: load memory
indexes first, then only the routed detailed memory files; summarize durable
patterns by file path and signal instead of pasting session transcripts.
Harness/memory/routes.md for existing entries before writing.Harness/memory/*.
Use compact format (default no date):
- When <scenario>: <rule>. Avoid <over-application>. Signals: <signals>.Report files updated, patterns extracted, skipped candidates, and why each memory entry should survive context loss.