Space Dinosaurs
Official@space-dinosaurs
AI-powered e-commerce solutions, performance optimization, and digital transformation for leading retail brands.
Agent Skills by Space Dinosaurs
Showing 37 vetted skills indexed across 1 GitHub repositories.
Space-Dinosaursagentic-engineering
Coordinate multi-agent software development workflows with risk classification and quality gates.
Space-Dinosaursprune-harness
Generate a pruning proposal with rationales for the agentic-engineering methodology corpus.
Space-Dinosaursupdate-agentic-engineering
Automate edit-sync-build-commit-push cycles for methodology and tooling docs in the agentic-engineering repo.
Space-Dinosaursagent-release-orchestrator
Orchestrate end-to-end software releases with gated pre-flight, build, deploy, and validation steps.
Space-Dinosaurstest-suite-comprehension
Map source modules to tests and produce a ranked coverage gap report.
Space-Dinosaursskeptic
Coordinate adversarial review loops between Worker and Skeptic with auditable logs.
Space-Dinosaursagent-qa-engineer
Execute specified scenario methods across declared viewports and report pass/fail with evidence.
Space-Dinosaursagent-product-discovery
Frame product ideas into staged vision and requirements proposals.
Space-Dinosaursagentic-help
Print grouped slash commands with usage patterns from a static reference.
Space-Dinosaursagent-perf-analyst
Profile CPU and memory usage of a target and report pass/fail against a perf budget.
Space-Dinosaursagent-learnings-agent
Capture and classify session learnings into LRN or KNW entries in .agentic/learnings.md.
Space-Dinosaursagent-adr-drift-detector
Audit code alignment with documented Architecture Decision Records and generate drift reports.
Space-Dinosaursagent-wrap-ticket
Append ticket learnings to MEMORY.md, decisions.md, and .agentic/context.md.
Space-Dinosaursagent-dependency-auditor
Audit project lockfiles for CVEs, license risks, and maintenance signals.
Space-Dinosaurscleanup-worktrees
Prune stale git worktrees and merged local branches via Bash.
Space-Dinosaursagent-debugger
Diagnose root causes of failing tests and stack traces from codebase inspection.
Space-Dinosaursagentic-disable
Append an opt-out marker to AGENTS.md to disable agentic-engineering prompts.
Space-Dinosaursagentic-cost
Render token and wall-time rollups from .agentic/events.jsonl into a fixed-width table.
Space-Dinosaursagent-investigator
Trace data flow and map blast radius in codebases without modifying files.
Space-Dinosaurswrap
Consolidate session data into AGENTS.md, MEMORY.md, and .agentic/context.md.
Space-Dinosaursmigrate-project
Apply project scaffolding migrations from the canonical manifest in dry-run or apply modes.
Space-Dinosaursagent-skeptic
Reviews Worker outputs for weaknesses and classifies findings as Critical, Major, or Minor.
Space-Dinosaursrepresentation-audit
Audit dense prose in methodology documents and generate ranked rewrite proposals.
Space-Dinosaursagentic-identity
Manage developer identity for session telemetry attribution across global and project scopes.
Frequently Asked Questions About Space Dinosaurs
FAQPage SchemaWhat specific tasks can be performed using these capabilities?▼
These capabilities enable automated architectural decision tracking, security vulnerability auditing via OWASP and CWE patterns, performance budget profiling, and systematic coverage gap reporting. Users can also manage project scaffolding, reconcile ticket states with code, and perform adversarial code reviews to ensure high-quality software delivery.
Which personas benefit most from these technical capabilities?▼
Software architects, lead engineers, and quality assurance specialists benefit most from these capabilities. The system is designed for technical teams requiring rigorous governance, auditable decision-making processes, and automated security and performance validation within complex, multi-contributor development environments.
What are the prerequisites for implementing these capabilities?▼
Implementation requires a project structure that supports the .agentic directory hierarchy and the presence of standard documentation files like MEMORY.md and AGENTS.md. Users must also have a compatible environment to execute the provided bash-based lifecycle management and repository scaffolding functions.