Bitterbot-AI/bitterbot-desktop
Agent
How to author and register a new pre-action interceptor (PLAN-20).
275 tagged agent memory, measured the same way as everything else here.
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Bitterbot-AI/bitterbot-desktop
Agent
How to author and register a new pre-action interceptor (PLAN-20).
Bitterbot-AI/bitterbot-desktop
Agent
Operator runbook for pre-action interceptors (PLAN-20).
Bitterbot-AI/bitterbot-desktop
Agent
Executable skill interceptors turn passive markdown skills into deterministic behavioral guardrails. When the agent proposes a tool call, registered interceptors inspect the action, read the agent's current state (hormonal, GCCRF, channel, recent turns), and may modify, inject context into, require a prerequisite for…
Agent
Analyze blind comparison results to understand WHY the winner won and generate improvement suggestions.
Agent
Compare two outputs WITHOUT knowing which skill produced them.
Agent
Evaluate expectations against an execution transcript and outputs.
Agent
generate a diary for user.
Agent
Writes and edits code. Stores strategies and implementation decisions.
Agent
Researches APIs, docs, and external services. Stores failures and facts.
Agent
Reviews code and stores findings privately. Does not share with other agents.
Agent
Advises on scope, roles, compliance, and GDPR use in SuperLocalMemory. Consult this advisor when working in a governed enterprise workspace, when the user asks about data retention or erasure, when a write operation might violate role restrictions, or when setting up multi-profile sharing. Never bypasses governance…
Agent
Runs a task as a bounded loop backed by SuperLocalMemory: iterate until an INDEPENDENT gate passes — never the agent's own claim. Delegate here when a task has a checkable acceptance condition (a test suite, a JSON schema, a linter, a reconciliation rule, a security scan) and you want gate-verified completion with an…
Agent
Advises the main agent on using SuperLocalMemory well — when to call sessioninit, remember, recall, and search; how to phrase queries; and how to keep memory clean. Delegate here for any "should I save/recall this?" decision or when memory results look wrong.
Agent Claude Code
Use when reviewing Go code changes in remindb (modified or staged files in pkg/, cmd/, internal/, or any .go file in the diff) for adherence to the project's .claude/rules/go-concise.md. Catches project-specific style violations that generic Go reviewers miss — empty-struct-with-methods pattern, "failed to :" error…
Agent Claude Code
Use when reviewing changes to remindb's public MCP surface — anything in pkg/mcp/, pkg/mcp/tools/, or pkg/mcp/server.go, especially new/renamed/removed Memory tools, changes to handler signatures, return shapes, locking decisions, or defer d.logCall(...) attrs. Validates against .claude/rules/mcp-tool-conventions.md…
Agent Claude Code
Use when reviewing changes to remindb's SQL migrations — any new file under migrations/ matching 000N.sql, any edit to an already-committed migration file, or any change to pkg/store/queries.go that adds queries against columns/tables created by recent migrations. Checks IF NOT EXISTS coverage, append-only discipline…
Agent
Reviews ax SurrealDB schema + ingest-stage changes for the registration gotchas that fail CI.
Agent
Reviews one prior session through ax's normalized cross-harness Turn view and emits a structured retro (tried · worked · failed · next) plus optional proposals. Dispatched by the /retro skill from a .ax/tasks/retro/ .md brief. Runs ax retro emit and, when patterns repeat, ax improve recommend. Never edits source code.
Agent
The context curator is the cold path. It keeps existing records compact, non-duplicative, and current.
Agent
The context graph agent runs after curated records are available. It builds a sparse graph of useful relationships between decisions, constraints, facts, preferences, references, evidence, and handoffs.
Agent
Trace ingestion is the hot path. It turns one indexed source session into a small episode record plus zero or more durable context records.
Agent
You are a benchmark analysis agent. Your job is to analyze aggregate benchmark results and surface hidden patterns, regressions, and improvement opportunities.
Agent
You are a blind comparison agent. Your job is to compare two outputs (A and B) against a rubric and determine which is better, without knowing which version produced which output.
Agent
You are an assertion grading agent. Your job is to evaluate whether assertions about a skill's output are satisfied, verify factual claims, and critique the quality of the evaluation itself.