com um clique
reflexio
reflexio contém 7 skills coletadas de ReflexioAI, com cobertura ocupacional por repositório e páginas de detalhe dentro do site.
Skills neste repositório
Run lint checks (ruff for Python, Biome for TS/JS), type checks (pyright for Python, tsc for TS/JS), and the standard pytest tiers (unit + e2e + tests skipped during pre-commit). Investigates failures to determine if they are application bugs or test issues, and fixes application bugs rather than weakening tests. Does not run paid-LLM real-API tests or scenario probes from the test-* command family.
Start all local services (backend, frontend, docs) with dependency checking, error diagnosis, and automatic recovery. Handles missing npm/python packages, port conflicts, and stale processes.
Sync AI coding tool instruction files (AGENTS.md, GEMINI.md, AGENTS.md) so they stay aligned. Detects which file changed and copies it to the others. Use when syncing md files, syncing instructions, updating GEMINI.md, or updating AGENTS.md.
Captures user facts and procedural corrections into .reflexio/ so the agent learns across sessions. Use when: (1) user states a preference, fact, config, or constraint; (2) user corrects the agent and confirms the fix with an explicit 'good'/'perfect' or by moving on without re-correcting for 1-2 turns; (3) at start of a user turn, to retrieve relevant facts and playbooks from past sessions.
Cross-session memory via Reflexio server. Search is automatic (hook-injected before every response). Use reflexio_publish tool to flush corrections and learnings immediately. Manual search fallback via exec if hook injection is empty.
Run a full-sweep consolidation over all .reflexio/ files — TTL sweep + n-way cluster merge. Use when the user asks to 'clean up reflexio', 'consolidate memory', 'deduplicate playbooks', or suspects drift across sessions.
Captures user facts and procedural corrections into .reflexio/ so the agent learns across sessions. Use when: (1) user states a preference, fact, config, or constraint; (2) user corrects the agent and confirms the fix with an explicit 'good'/'perfect' or by moving on without re-correcting for 1-2 turns; (3) at start of a user turn, to retrieve relevant facts and playbooks from past sessions.