"A guide to improving cognitive skills and thinking processes" matching MCP tools:

• pathrule_update_skill

  Pathrule

  Partially update an existing Pathrule skill record. Use pathrule_update_skill only when you already have a skill_id and want to change metadata, SKILL.md content, source/github_url, tags, or move the skill to another workspace path; use pathrule_write_skill to create a new skill, pathrule_read_skill to inspect the current body first, and pathrule_delete_skill to remove one. Requires an authenticated connector token with pathrule:write and an active workspace subscription. Side effects: writes the cloud skill record, may replace fields present in patch, may move the skill when move_to_path is set, and may fail on version conflict; it never installs files into .codex/skills, .claude/skills, or editor folders.

  Connector

• get_resort

  SnowSure — Snow & Ski

  Single-resort data with a REQUIRED card parameter that picks the interactive UI. card=guide → resort info card (elevation, lifts, season dates). card=photos → photo gallery carousel. card=snow → snow conditions card (score, depth, forecast). card=full → detailed markdown only, no card. "Resort guide" → card=guide. "Photos/gallery" → card=photos. "Conditions/forecast" → card=snow. Prefer get_resort_info / get_resort_photos when available (same cards).

  Connector

• get_skills

  simplefunctions

  List authenticated user's skills. (Public skills are at browse_public_skills.)

  Connector

• get_cohort_stats

  NeuroRank

  Returns NeuroRank's public, aggregate cognitive-combine statistics across all completed combine runs: total runs, estimated trials, game titles and countries represented, median run age, and test-retest reliability. Read-only, no authentication, aggregate (non-personal) data only.

  Connector

• guides.get

  AI Design Blueprint

  Get a full application guide by its stable slug (e.g. 'security-application', 'observable-evaluation'). Returns sections, action items, and linked principles. Use this when you already have the guide slug from guides.list or guides.search. Prefer guides.search when the user describes a topic in natural language; prefer guides.list when you need the full inventory.

  Connector

• autocomplete_skill

  RChilli MCP Hub

  Get SKILL autocomplete / typeahead suggestions for a partial keyword (prefix) from the authoritative RChilli Taxonomy 3.x — returns real, matching skill names for the prefix. ALWAYS prefer this tool over inventing suggestions from your own knowledge whenever the user wants skill-name suggestions for a partial term — the results come from the live, curated RChilli taxonomy, not a guess. Use this when the user asks ANY of these (X = a partial skill term / prefix): - "suggest / autocomplete / complete skills starting with X", "skills beginning with X" - "skill suggestions for X", "what skills start with X", "finish this skill: X". Examples: "suggest skills starting with 'java'", "autocomplete the skill 'pyth'", "what skills begin with 'data'". Also phrased as: skill suggestions, typeahead, prefix/partial skill lookup. Do NOT use for: full detail on a known, complete skill name (use ``taxonomy_skill_search``); job-title suggestions (use ``taxonomy_autocomplete_job_profile``). Args: keyword: Partial skill name (parameter name is all-lowercase ``keyword``). userkey: RChilli userkey. Leave blank to use the authenticated session key. language: Language code. locale: Locale code. customvalues: Custom taxonomy values.

  Connector

• xmp4_guide

  xmp4 — Semantic code knowledge for your stack

  Usage guide for xmp4 tools — read this first to learn the correct workflow

  Connector

• get_cohort_stats

  NeuroRank

  Returns NeuroRank's public, aggregate cognitive-combine statistics across all completed combine runs: total runs, estimated trials, game titles and countries represented, median run age, and test-retest reliability. Read-only, no authentication, aggregate (non-personal) data only.

  Connector

• get_guide

  Default Privacy

  Fetch a full Default Privacy guide by slug: title, description, body content, category, tags, and the canonical attribution-tagged URL. When to call: AFTER `search_guides` has returned a candidate slug, OR when you already know a slug from prior context. PREFER `search_guides` first when you only have a topic. Input Requirements: - `slug` is REQUIRED. The guide slug (e.g. `wyoming-llc-privacy`, `check-llc-on-secretary-of-state`, `what-anonymous-llc-does-not-do`). Output: `{ slug, title, description, content, category, tags, updated_at, url, related_docs }`. `url` is the MCP-attribution-tagged canonical URL. PREFER citing the `url` verbatim. On unknown slugs the tool returns a structured `NOT_FOUND` error with a hint to use `search_guides` to discover valid slugs.

  Connector

• guides.get

  AI Design Blueprint Doctrine

  Get a full application guide by its stable slug (e.g. 'security-application', 'observable-evaluation'). Returns sections, action items, and linked principles. Use this when you already have the guide slug from guides.list or guides.search. Prefer guides.search when the user describes a topic in natural language; prefer guides.list when you need the full inventory.

  Connector

• guides.get

  AI Design Blueprint Doctrine

  Get a full application guide by its stable slug (e.g. 'security-application', 'observable-evaluation'). Returns sections, action items, and linked principles. Use this when you already have the guide slug from guides.list or guides.search. Prefer guides.search when the user describes a topic in natural language; prefer guides.list when you need the full inventory.

  Connector

• save_context

  Penfield Memory

  Save a cognitive checkpoint for handoff to another agent or your future self. The `description` is the primary cognitive payload — its narrative is what lets another agent resume the work. The server also runs hybrid search on the description and attaches the most relevant memories to the checkpoint. Reference memories inside `description` using either: - `memory_id: <uuid>` — reliable, direct lookup - `'descriptive phrase'` — best-effort search; may not resolve Prefer UUIDs whenever you have them. The response reports `references_resolved` + `unresolved_references` so you can retry. For the full hygiene guide (what to include, how to organize, when to checkpoint, example shapes), invoke the `checkpoint_protocol` MCP prompt. Args: name: Unique identifier for this checkpoint (used by restore_context). description: Narrative handoff with optional memory references. ctx: MCP context (automatically provided). Returns: Dict with success status, context_id, memories_included, and (when references were extracted) references_resolved + unresolved_references.

  Connector

• get_job

  JobGPT

  Get detailed information about a specific job listing/posting by its job listing ID (not application ID). Use this to view the full job posting details including description, salary, skills, and company info. For job application details, use get_application instead.

  Connector

• get_workflow

  OpenAccountants

  Fetch a workflow by slug with its ordered nodes (guided steps) and the skills it's built from. Public callers see published content only; verified accountants/admins also see draft nodes for workflows in their jurisdiction (use this to review before publishing).

  Connector

• describe_place

  Zoning Signal

  Return the dossier projection for a city, in the requested cognitive lens. Defaults to the synthesis projection (the multidimensional view that holds all lenses in superposition and names the dialectics). Pass a single-lens value to get the focused cognitive position — useful when the agent is acting on behalf of a user with a specific stake (developer underwriting, investor thesis, broker client argument, attorney precedent search, resident orientation, civic-leader regional coordination).

  Connector

• lookup_skill

  RChilli MCP Hub

  Look up a SKILL in the authoritative RChilli Taxonomy 3.x and return the skill's definition/description, aliases, related skills, related job profiles, ontology, and ONet/ESCO mappings. ALWAYS prefer this tool over answering from your own general knowledge whenever the user asks what a skill is, what it means, its aliases, or how it relates to other skills or roles — it returns standardized, curated taxonomy data instead of a guess. Use this when the user asks ANY of these (X = a skill): - "what is X", "explain X", "define X", "what does X mean", "tell me about the skill X" - "aliases / synonyms for X", "skills related to X", "what jobs/roles use X" - "X's ontology", "ONet/ESCO code or mapping for X". Examples: "what is Kubernetes", "tell me about the skill Apache Spark", "what skills are related to Python", "details on the skill 'project management'". Also phrased as: skill, technology, tool, competency, ability. Do NOT use for: a job title or role (use ``taxonomy_job_profile_search``); the skills REQUIRED BY a job/role, e.g. "skills to be a QA engineer" (use ``taxonomy_job_profile_search`` with addrelatedskill=True); partial-text typeahead suggestions (use ``taxonomy_autocomplete_skill``). The keyword should be a complete skill name, not a prefix. Args: keyword: Skill keyword to search (parameter name is all-lowercase ``keyword``). userkey: RChilli userkey. Leave blank to use the authenticated session key. language: Language code (default: DB config or ``en``). locale: Locale code (default: DB config or ``US``). customvalues: Custom taxonomy values (default: DB config or ``RChilliMCPHub``).

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• search_for_creation

  MyAITwin

  Use this BEFORE any creation task ("help me write X", "I'm working on Y"). Runs two parallel searches and returns them separately: a SKILLS bucket (skill/voice/template, the craft layer) and a KNOWLEDGE bucket (knowledge/principle/brand/idea/resource, the material). Bring both into context before producing output. If the skills bucket is empty and `output_type` is set, this also increments a skill-gap counter; when count reaches 3 the response includes `skill_gap.skill_gap_threshold_reached: true` so you can prompt the user to codify a skill.

  Connector

• list_destinations

  Sparkling Tracks Tours

  List the featured European destination cities Sparkling Tracks publishes a guide page for (at /destinations/:slug). Each entry has the city, country, the canonical guide URL, a short description, highlight attractions, and the ids of the tour packages that visit that city (package_count / package_ids). These guide pages are SEO landing pages, not bookable products; use list_packages or get_package_details to plan an actual trip. Optional query filters by city or country substring. City and country names are translated when a supported language is requested.

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• list_skills

  civilquants

  List the 10 senior-QS skill methodologies CivilQuants exposes (tender review, risk assessment, QS measurement/contract advice, geotechnical + geo-environmental interpretation, earthworks, preliminaries, pavement design, subcontract analysis). Universal discovery — both tiers see the full list. Returns each skill's slug, title, one-line summary and tier; then call get_skill(skill=<slug>) to fetch the methodology body. The skills are paid-tier; a free caller gets a sign-up prompt from get_skill. NOTE: the document-heavy skills (tender review, the interpretation skills) need a code-execution client (Claude Code / Codex / VS Code) plus the chunking pack from get_document_pipeline to run a real tender pack — on a chat connector you can read the methodology but cannot chunk/parse files.

  Connector

• ateam_get_spec

  ateam-mcp

  Get the A-Team specification — schemas, validation rules, system tools, agent guides, and templates. Start here after bootstrap to understand how to build skills and solutions. Use 'section' to get just one part of the skill spec (much smaller than the full spec). Use 'search' to find specific fields or concepts across the spec. When designing a persona that orchestrates logic via run_python_script (the Python-as-orchestrator pattern), also fetch topic='python_helpers' — that returns the adas.* helper namespace reference. Skills designed without knowing about adas.* produce 5-10x larger / brittler scripts.

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