Claude Skills by cdeust

Set up automation — prospective memory triggers, neuro-symbolic rules, and CLAUDE.md sync. Use when the user says 'remind me when', 'trigger when', 'create a rule', 'auto-remember', 'sync to CLAUDE.md', 'push insights', 'set up trigger', 'when I open this file', 'when this keyword appears', or when you want to automate memory behavior based on conditions.

Run memory maintenance — decay old memories, compress stale content, consolidate episodic memories into semantic knowledge, and run sleep-like replay. Use when the user says 'clean up memories', 'consolidate', 'run maintenance', 'compress old memories', 'memory cleanup', or periodically to keep the memory system healthy. Also use after importing many memories or at the end of a long session.

Debug and fix memory system issues — validate memories, rate quality, manage protection, forget bad memories, and restore from checkpoints. Use when the user says 'fix memory', 'bad memory', 'wrong memory', 'delete this', 'protect this', 'this memory is wrong', 'memory quality', 'rate this memory', 'restore checkpoint', 'undo', or when memories are returning incorrect or stale results.

Explore the memory system's state, find gaps in knowledge, assess coverage, and get diagnostic information. Use when the user asks 'what does my memory look like', 'show me memory stats', 'what am I missing', 'how good is my knowledge', 'memory health', 'show coverage', 'find gaps', 'what topics are weak', or when you need to understand the state of stored knowledge before a task.

Import memories from other AI memory systems into Cortex. Supports claude-mem (SQLite), Claude Desktop sessions, ChatGPT web export (JSON), Gemini Takeout (JSON), Cursor conversations, and Claude Code JSONL. Use when the user says 'import from claude-mem', 'migrate memories', 'import ChatGPT history', 'import from Gemini', 'transfer memories', or when Cortex detects another memory system is installed.

Navigate the knowledge graph — trace entity relationships, explore causal chains, drill into memory clusters, and traverse co-access paths. Use when the user asks 'how are these related', 'what connects X to Y', 'show me the knowledge graph', 'trace the relationship', 'what caused X', 'drill down into', 'explore connections', or when you need to understand the web of relationships between concepts, entities, and memories.

View and manage your cognitive profile — how you think, work patterns, blind spots, and cross-domain connections. Use when the user says 'show my profile', 'how do I work', 'what are my patterns', 'cognitive style', 'blind spots', 'methodology', or at the start of a session to load context. Also use 'rebuild profile' to rescan all session history, or 'list domains' to see all tracked project domains.

Search and retrieve global memories — knowledge that applies across all projects. Use when the user asks 'what are our coding standards', 'what conventions do we follow', 'what's our infrastructure setup', 'do we have a rule about', 'what applies to all projects', 'shared knowledge', 'global rules', or when you need cross-project context like architecture decisions, server configs, or team policies.

Search and retrieve memories from Cortex persistent memory. Use when the user asks 'what did we decide about X', 'do you remember', 'what was the fix for', 'find that thing about', 'search memories', 'what do we know about', 'have we seen this before', or when you need context about past decisions, patterns, bugs, or architecture choices. Also use proactively when working on something that likely has relevant historical context.

Store a global memory that is visible across all projects. Use when the user shares architecture rules, coding conventions, infrastructure facts, security policies, team agreements, or any knowledge that applies beyond a single project. Triggers on 'remember this everywhere', 'this applies to all projects', 'global rule', 'shared convention', 'infrastructure note', 'cross-project', or when the content is clearly universal (clean architecture, SOLID, deployment configs, server addresses).

Store important decisions, patterns, errors, lessons, and context into Cortex persistent memory. Use when the user says 'remember this', 'save this', 'store this for later', 'note this down', 'don't forget', 'this is important', 'bookmark this', or when a significant decision, bug fix, architecture choice, or lesson learned occurs during a session. Also use after resolving tricky bugs, making technology choices, or discovering important patterns.

Bootstrap Cortex for a new project or import existing session history. Use when the user says 'set up Cortex', 'seed this project', 'import my history', 'backfill memories', 'bootstrap memory', 'initialize Cortex for this project', or when starting to use Cortex on an existing codebase that already has Claude Code conversation history.

Launch the interactive unified neural graph visualization. Use when the user says 'show visualization', 'show me the graph', 'visualize memories', 'show memory map', 'open neural graph', or when a visual overview of the memory system or cognitive profile would be helpful.

Author first-class wiki pages (ADRs, specs, file docs, notes) that live alongside Cortex memory. Use when the user says 'this is an ADR', 'document this decision', 'write an ADR', 'add a spec', 'spec this out', 'document this file', 'add a note about', 'link these pages', 'bookmark this as a spec', or when finalizing a design decision that should persist as a human-readable document.

Synthesize multiple papers, benchmarks, interviews, reviews, or other sources into a defensible and qualified conclusion. Use for conflicting evidence, literature synthesis, claim auditing, argument mapping, qualitative coding, belief updates, or any request that must expose counter-evidence, uncertainty, and source limitations.

Draw the line where it costs least. Use for build-vs-buy calls, "where does this module/team/service boundary belong?", APIs and abstractions forcing users into implementation vocabulary, tools that should augment rather than automate, hardcoded decisions that belong at runtime, or information nobody can find.

Correlation walked in; make it prove causation. Use when someone claims "X causes Y" from observational data, asks "did the change actually cause the improvement?", "is this confounded?", "what would have happened if we hadn't shipped it?", plans an A/B test, or investigates why an incident/outbreak spread the way it did.

Audit the decision before it ships. Use for "are we sure about this?", high-stakes choices made on fast intuition, plans with no failure scenario, estimates that are suspiciously optimistic, metrics being gamed (Goodhart), unfalsifiable claims, negotiation prep, or strategies that break in extreme conditions.

Bound it before you build it. Use when a decision is blocked by "we don't have data", an estimate looks suspiciously precise, someone asks "is this even feasible?", "how much capacity do we need?", "will this scale?", or a claimed number has never been cross-checked by a second method.

The artifact is correct and nobody can use, learn, or read it. Use when every component metric is green but the end-to-end experience is broken, when onboarding is too slow or documentation goes unread, when the observer is inside the system being studied (UX research, dogfooding), or when code is right but unreadable by the next maintainer.

Read the wreckage before rebuilding. Use for incident post-mortems, "what happens when everything goes wrong at once?", flaky or anomalous cases being filtered out as noise, "that's weird" moments nobody wrote down, oscillating or unstable feedback behavior, and designs whose only failure mode is crash.

Prove it, don't test-and-hope. Use for concurrent or distributed code with no written spec, "how do we know this is correct?", interfaces that break when implementations are swapped, correctness argued by walking through example traces, wall-clock time used for ordering, or "can this be decided at all?".

Fix the instrument before trusting the number. Use when someone says "the metric improved but I don't trust it", "measured more than the parts predict", "we want to improve X but nothing reads X", "the numbers don't add up", "requests/money/time are disappearing", or a measurement may perturb the system it measures.

Some questions are "what happened and what did it mean", not "what is the mechanism". Use when an account must be reconstructed rather than measured, when a sequential process has a missing or out-of-order step, when a story is told to explain a failure, or when a claim sounds authoritative but may be structurally impossible before any source is even checked.

Legitimacy is a design property, not an afterthought. Use when a rule, policy, or allocation must be written or applied and the open question is "is this fair and consistently applied?" rather than "does it work", when a general rule does not determine a specific case, when harm emerged with nobody having decided it, or when "we've always done it this way" is the only justification on offer.

The question itself may be the bug. Use when a debate goes in circles, both options of a binary feel wrong, improving one parameter degrades another, "we're stuck" on a problem that resists direct attack, a metaphor is doing hidden work in the architecture, or a trade-off is being denied rather than made.

When the notation is the obstacle and the option space was never enumerated. Use when the current vocabulary hides the solution, when a system claims to be exhaustive but nobody checked whether the space is searchable, when a forecast is too narrow because no one pushed the principle to its limit, or when you need the answer now and the proof afterwards.

Find the hidden pattern that organizes the mess. Use for "these look related but we can't say how", classification with suspicious gaps, reverse-engineering an undocumented system or format, "is there a symmetry we're not using?", scale-free or fat-tailed data, or generating conjectures from computed special cases.

Find where a small push changes the whole system. Use when local fixes keep failing, "where should we intervene?", recurring organizational patterns (shifting the burden, escalation, tragedy of the commons), behavior driven by stocks/flows/delays, adoption stalling, or shared resources being depleted.