PreCompact
01Hook Claude Code
Runs before the context is compacted, running bd prime. From Apra-Labs/apra-fleet.
Hook Claude Code
Runs before the context is compacted, running bd prime. From Apra-Labs/apra-fleet.
Hook Claude Code
Runs when a session starts, running bd prime. From Apra-Labs/apra-fleet.
Settings file Claude Code
Agent settings declaring 2 hook events (PreCompact, SessionStart).
Skill Claude CodeCodex
Use when the user needs to run GitNexus CLI commands like analyze/index a repo, check status, clean the index, generate a wiki, or list indexed repos. Examples: "Index this repo", "Reanalyze the codebase", "Generate a wiki".
Skill Claude CodeCodex
Use when the user is debugging a bug, tracing an error, or asking why something fails. Examples: "Why is X failing?", "Where does this error come from?", "Trace this bug".
Skill Claude CodeCodex
Use when the user asks how code works, wants to understand architecture, trace execution flows, or explore unfamiliar parts of the codebase. Examples: "How does X work?", "What calls this function?", "Show me the auth flow".
Skill Claude CodeCodex
Use when the user asks about GitNexus itself -- available tools, how to query the knowledge graph, MCP resources, graph schema, or workflow reference. Examples: "What GitNexus tools are available?", "How do I use GitNexus?".
Skill Claude CodeCodex
Use when the user wants to know what will break if they change something, or needs safety analysis before editing code. Examples: "Is it safe to change X?", "What depends on this?", "What will break?".
Skill Claude CodeCodex
Use when the user wants to rename, extract, split, move, or restructure code safely. Examples: "Rename this function", "Extract this into a module", "Refactor this class", "Move this to a separate file".
MCP server Claude CodeCodexCursor +2
MCP server "apra-fleet", hosted remotely at localhost, as configured in Apra-Labs/apra-fleet.
MCP server Claude CodeCodexCursor +2
DeepWiki's hosted MCP server: AI-generated documentation of public GitHub repositories the agent can query. Remote server at mcp.deepwiki.com.
Instructions file CodexOpenCode
AGENTS.md instructions for Apra-Labs/apra-fleet, covering apra fleet - agent context, dev commands, conventions, deepwiki and beads issue tracker.
Instructions file
Claude Code instructions for Apra-Labs/apra-fleet, covering apra fleet - claude code context, dev commands, conventions, deepwiki and beads issue tracker.
Instructions file Gemini CLI
Gemini CLI instructions for Apra-Labs/apra-fleet, covering apra fleet — gemini context, dev commands and conventions.
Skill Claude CodeCodex
How to construct and pass correct arguments to the auto-sprint workflow -- the required issues+branch fields, optional goal/maxcycles/basebranch/requirementsFile, JSON-object (not string) shape, and common launch mistakes. Trigger when preparing to launch or invoke auto-sprint.
Agent
For one operator's assigned beads, finds what is ready/urgent to sprint next, proposes cohesive sprint sets from interdependencies, finds duplicates, and surfaces high-priority/urgent-sounding items whose content quality is too low to act on. Full beads mutation authority (merge/close/defer/reject), always…
Agent
Polls CI for the sprint HEAD SHA; returns green/red/notconfigured/pending.
Agent
Follows deploy.md to deploy the software onto the target environment and verify it with the smoke test.
Agent
Works assigned bead ids (task-type work, impl and test-dev), commits after each, stops at VERIFY checkpoint.
Agent
Extracts durable sprint knowledge into docs/, updates README/CHANGELOG (including pre-computed cost analysis block), defers low-priority issues, and returns OK.
Agent
Runs integ-test-playbook.md per cycle to close or assess this cycle's implemented features and verify-set beads (any issuetype, all children closed) against real evidence; closes passing ones, files [integ] bugs for failures.
Agent
Resolves KB contradiction pairs a mechanical hash-prefilter could not settle, by reading the merged code and calling kbresolvecontradiction; returns code/tier-decided and deferred counts.
Agent
Reviews beads DAG structure for coverage, task size, and acceptance criteria; classifies each task complexity bucket and reads its assigned model; returns APPROVED or CHANGESNEEDED.
Agent
Reads open beads sprint goals/features/bugs and creates a feature+task DAG in beads with clear acceptance criteria.