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phoenixclaw

Passive journaling skill that scans daily conversations via cron to generate markdown journals using semantic understanding. Use when: - User requests journaling ("Show me my journal", "What did I do today?") - User asks for pattern analysis ("Analyze my patterns", "How am I doing?") - User requests summaries ("Generate weekly/monthly summary")

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Kernel8901/ai-agent-skills-classification
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4 de abril de 2026 a las 15:26
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SKILL.md
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name
phoenixclaw
description
Passive journaling skill that scans daily conversations via cron to generate markdown journals using semantic understanding. Use when: - User requests journaling ("Show me my journal", "What did I do today?") - User asks for pattern analysis ("Analyze my patterns", "How am I doing?") - User requests summaries ("Generate weekly/monthly summary")
metadata
{"version":"0.0.10"}
# PhoenixClaw: Zero-Tag Passive Journaling PhoenixClaw automatically distills daily conversations into meaningful reflections using semantic intelligence. Automatically identifies journal-worthy moments, patterns, and growth opportunities. ## 🛠️ Core Workflow > [!critical] **MANDATORY: Complete Workflow Execution** > This 9-step workflow MUST be executed in full regardless of invocation method: > - **Cron execution** (10 PM nightly) > - **Manual invocation** ("Show me my journal", "Generate today's journal", etc.) > - **Regeneration requests** ("Regenerate my journal", "Update today's entry") > > **Never skip steps.** Partial execution causes: > - Missing images (session logs not scanned) > - Missing finance data (Ledger plugin not triggered) > - Incomplete journals (plugins not executed) PhoenixClaw follows a structured pipeline to ensure consistency and depth: 1. **User Configuration:** Check for `~/.phoenixclaw/config.yaml`. If missing, initiate the onboarding flow defined in `references/user-config.md`. 2. **Context Retrieval:** - Call `memory_get` for the current day's memory - **CRITICAL: Scan ALL raw session logs and filter by message timestamp**. Session files are often split across multiple files. Do NOT classify images by session file `mtime`: ```bash # Read candidate session files (all or recent), then filter each message by timestamp TODAY=$(date +%Y-%m-%d) find ~/.openclaw/sessions -name "*.jsonl" -print0 | xargs -0 jq -cr --arg day "$TODAY" ' select((.timestamp // "")[:10] == $day) ' ``` Read **all matching files** regardless of their numeric naming (e.g., file_22, file_23 may be earlier in name but still contain today's messages). - **EXTRACT IMAGES FROM SESSION LOGS**: Session logs contain `type: "image"` entries with file paths. You MUST: 1. Find all image entries (e.g., `"type":"image"`) 2. Keep only entries where message `timestamp` is in the target date range 3. Extract the `file_path` or `url` fields 4. Copy files into `assets/YYYY-MM-DD/` 5. Rename with descriptive names when possible - **Why session logs are mandatory**: `memory_get` returns **text only**. Image metadata, photo references, and media attachments are **only available in session logs**. Skipping session logs = missing all photos. - **Edge case - Midnight boundary**: For late-night activity that spans midnight, expand the **timestamp** range to include spillover windows (for example, previous day 23:00-24:00) and still filter per-message by `timestamp`. - If memory is sparse, reconstruct context from session logs, then update daily memory - Incorporate historical context via `memory_search` (skip if embeddings unavailable) 3. **Moment Identification:** Identify "journal-worthy" content: critical decisions, emotional shifts, milestones, or shared media. See `references/media-handling.md` for photo processing. This step generates the `moments` data structure that plugins depend on. **Image Processing (CRITICAL)**: - For each extracted image, generate descriptive alt-text via Vision Analysis - Categorize images (food, selfie, screenshot, document, etc.) - Match images to moments (e.g., breakfast photo → breakfast moment) - Store image metadata with moments for journal embedding 4. **Pattern Recognition:** Detect recurring themes, mood fluctuations, and energy levels. Map these to growth opportunities using `references/skill-recommendations.md`. 5. **Plugin Execution:** Execute all registered plugins at their declared hook points. See `references/plugin-protocol.md` for the complete plugin lifecycle: - `pre-analysis` → before conversation analysis - `post-moment-analysis` → **Ledger and other primary plugins execute here** - `post-pattern-analysis` → after patterns detected - `journal-generation` → plugins inject custom sections - `post-journal` → after journal complete 6. **Journal Generation:** Synthesize the day's events into a beautiful Markdown file using `assets/daily-template.md`. Follow the visual guidelines in `references/visual-design.md`. **Include all plugin-generated sections** at their declared `section_order` positions. - **Embed curated images only**, not every image. Prioritize highlights and moments. - **Route finance screenshots to Ledger** sections (receipts, invoices, transaction proofs). - Use Obsidian format from `references/media-handling.md` with descriptive captions. 7. **Timeline Integration:** If significant events occurred, append them to the master index in `timeline.md` using the format from `assets/timeline-template.md` and `references/obsidian-format.md`. 8. **Growth Mapping:** Update `growth-map.md` (based on `assets/growth-map-template.md`) if new behavioral patterns or skill interests are detected. 9. **Profile Evolution:** Update the long-term user profile (`profile.md`) to reflect the latest observations on values, goals, and personality traits. See `references/profile-evolution.md` and `assets/profile-template.md`. ## ⏰ Cron & Passive Operation PhoenixClaw is designed to run without user intervention. It utilizes OpenClaw's built-in cron system to trigger its analysis daily at 10:00 PM local time (0 22 * * *). - Setup details can be found in `references/cron-setup.md`. - **Mode:** Primarily Passive. The AI proactively summarizes the day's activities without being asked. ## 💬 Explicit Triggers While passive by design, users can interact with PhoenixClaw directly using these phrases: - *"Show me my journal for today/yesterday."* - *"What did I accomplish today?"* - *"Analyze my mood patterns over the last week."* - *"Generate my weekly/monthly summary."* - *"How am I doing on my personal goals?"* - *"Regenerate my journal."* / *"重新生成日记"* > [!warning] **Manual Invocation = Full Pipeline** > When users request journal generation/regeneration, you MUST execute the **complete 9-step Core Workflow** above. This ensures: > - **Photos are included** (via session log scanning) > - **Ledger plugin runs** (via `post-moment-analysis` hook) > - **All plugins execute** (at their respective hook points) > > **Common mistakes to avoid:** > - ❌ Only calling `memory_get` (misses photos) > - ❌ Skipping moment identification (plugins never trigger) > - ❌ Generating journal directly without plugin sections ## 📚 Documentation Reference ### References (`references/`) - `user-config.md`: Initial onboarding and persistence settings. - `cron-setup.md`: Technical configuration for nightly automation. - `plugin-protocol.md`: Plugin architecture, hook points, and integration protocol. - `media-handling.md`: Strategies for extracting meaning from photos and rich media. - `visual-design.md`: Layout principles for readability and aesthetics. - `obsidian-format.md`: Ensuring compatibility with Obsidian and other PKM tools. - `profile-evolution.md`: How the system maintains a long-term user identity. - `skill-recommendations.md`: Logic for suggesting new skills based on journal insights. ### Assets (`assets/`) - `daily-template.md`: The blueprint for daily journal entries. - `weekly-template.md`: The blueprint for high-level weekly summaries. - `profile-template.md`: Structure for the `profile.md` persistent identity file. - `timeline-template.md`: Structure for the `timeline.md` chronological index. - `growth-map-template.md`: Structure for the `growth-map.md` thematic index. ---
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