walm00

Creates implementation plans for ALL work scenarios. MANDATORY entry point for the PLAN phase. 8-step workflow: Intent -> Discovery -> Scenario -> Context -> Template -> Approach -> Session -> Approval 2 scenarios: AGENTING (ecosystem work), DOCUMENTATION (context creation & refinement)

The single entry point for getting anything new into your context architecture. Takes any input (documents, URLs, YouTube, meeting notes, pasted content) and triages it: dump to _inbox, park in _planned, or integrate into active docs. WHEN TO USE: - "Here's a document — integrate it into my context" - "Save this for later" / "Dump these meeting notes" - "I have an idea — park it somewhere" - "Read

Single-task dispatcher for CLEAR Context OS scheduled maintenance. Runs from the daily scheduled task, reads schedule-config.json, determines which jobs are due today, runs them in sequence, appends to the diary, writes a consolidated morning digest, and surfaces any frequency-tuning suggestions. WHEN TO USE: - Invoked automatically each morning by the `bcos-{PROJECT}` scheduled task - User says "

Shared TodoWrite patterns for consistent progress tracking across all BCOS skills. This is a PATTERN LIBRARY, not an invocable skill. Skills copy these patterns inline. WHY INLINE, NOT INVOKED: If todo-utilities were invoked as a Task(), its TodoWrite calls would execute in an isolated context — invisible to the user. Patterns must run IN the parent skill's main context where TodoWrite is visible.

Strategic reflection skill. Step back from daily work to think about the bigger picture of your context architecture, identify gaps, and envision improvements.

Extracts structured context from conversation exports (Slack, meeting transcripts, chat logs) into _inbox for processing.

Audits context architecture for CLEAR compliance, boundary enforcement, and consistency. WHEN TO USE: - User says "audit context for CLEAR" - User asks "check for duplication across data points" - User requests "find boundary violations in [area]" - Planning restructuring work - Before adding new data points (cleanup existing first) - Context quality improvement initiatives WHEN NOT TO USE: - Plan

First-run onboarding skill. Gets a new user from zero to a working context system. Claude asks one direct question upfront to pick the right scaffolding, then works from what the user shares — no long assessment ceremony beyond that. Creates a checklist that tracks setup progress across sessions and self-removes when done. WHEN TO USE: - "I want to set up my business context" - "Here's my website

Bootstrap skill - enforces proactive skill discovery and invocation. Automatically check for applicable skills before any action. Always active.

Wiki zone manager for BCOS — the universal long-form and cross-cutting content destination per plugin-storage-contract.md Rule 2. Stores runbooks, SOPs, decision logs, how-tos, glossaries, post-mortems, FAQs, meeting notes, and plugin cross-cutting context (charters, transcripts, research, customer-call notes). Two ingest paths: Path B (local files, pasted text, inbox promotion — runbooks/scripts/

Cross-zone retrieval and task-driven bundle resolution for BCOS. /context search ranks docs across every zone in one shared schema; /context bundle (P5) returns a curated, freshness-flagged, source-of-truth-aware context bundle for a declared task. Mechanical-first; LLM is opt-in via --semantic / --resolve-conflicts / --verify-coverage flags only. Invoke with /context.

Agent ecosystem expert for creating, maintaining, and auditing agents and skills. Prevents ecosystem drift and overlap.

Periodic maintenance of institutional knowledge. Analyzes lessons for staleness, overlaps, and gaps. Keeps lessons.json healthy.

Validates documentation quality: markdown syntax, cross-references, JSON structure. WHEN TO USE: - Validating markdown files for quality issues - Checking cross-references between documents - Validating JSON structure in ecosystem files - As part of FIXED END validation in any scenario WHEN NOT TO USE: - Content quality auditing (use context-audit for that) - Making content changes (findings guide

Manage the BCOS self-learning ladder: list learned rules, forget a rule, regenerate learned-rules.json from resolutions.jsonl. Mechanical-only — reads/writes derived artifacts; the actual learning happens via record_resolution.py at click time. Invoke with /learning.

Natural-language editor for .claude/quality/schedule-config.json. Users talk about maintenance scheduling in everyday language ("run audit twice a week", "turn off deep daydream", "switch dispatcher to 08:30") — this skill parses intent, validates against the schema, shows a concrete diff, asks for confirmation, and writes the change. WHEN TO USE: - User wants to change how often a job runs - User