Synapti.ai
Official@synaptiai · Norway
A new kind of AI studio
Agent Skills by Synapti.ai
Showing 73 vetted skills indexed across 3 GitHub repositories.
prompt-decorators-usage
Apply standardized prompt decorators to control LLM behavior across modes.
authoring-decorators
Define and implement prompt decorators with JSON schema and verification.
synthesizing-pillars
Transform research pillar evidence into structured SYN-<pillar>.md synthesis reports.
initializing-ledger
Create a structured Context Ledger workspace with BRIEF.md and PILLARS.md from a project brief.
making-decisions
Generate traceable decision and risk YAML files from synthesis insights.
generating-constrained-specs
Generate PRD and architecture documents with mandatory DEC-* decision citations.
collecting-evidence
Generate structured YAML evidence records with confidence scores and assumptions.
conducting-deep-research
Produce iterative research reports with source scoring and contradiction handling.
nci-manipulation-analysis
Score content for manipulation patterns across 20 NCI Protocol categories.
repo-config
Resolve default branch, repository owner/name, and branch conventions via gh repo view.
comprehension-report
Generate architecture narratives and requirements-adherence reports from diffs, decision journals, and issue context.
suggest-users
Rank GitHub collaborators as reviewers and assignees using CODEOWNERS and activity.
runtime-verification
Launch development servers and run smoke, end-to-end, and browser tests.
capability-discovery
Parse YAML frontmatter to surface agents, skills, and commands in a project.
decision-journal
Extracts DIFF and CJK CJK CJK CJK CJK CJK CJK CJK CJK CJK CJK CJK CJK CJK CJK CJK CJK CJK CJK CJK CJK CJK CJK CJK CJK CJK CJK CJK CJK CJK CJK CJK CJK CJK CJK CJK.
feedback-resolution
Trace PR feedback changes to specific review comments with structured commits.
convention-enforcement
Validate git history and pull requests against repository-specific conventions.
tdd-patterns
Track RED-GREEN-REFACTOR tasks for TDD cycles in CI workflows.
architecture-patterns
Map user, admin, and system flows to analyze coupling and structural problems.
debugging-patterns
Automate root-cause investigation of verification failures through structured log analysis and hypothesis testing.
team-coordination
Coordinate agent teams for adversarial review and parallel task implementation.
pr-lifecycle
Run pre-flight checks and generate a review-ready pull request body.
autonomous-workflow
Orchestrate Explore/Plan/Code/Verify cycles with task tracking and safety guardrails.
code-quality-principles
Enforce intentional code quality standards and proximity-tested cleanups across modified source files.
Frequently Asked Questions About Synapti.ai
FAQPage SchemaWhat specific tasks can I perform using these capabilities?▼
You can manage complex software lifecycles by generating structured decision journals, enforcing repository conventions, performing evidence-based code reviews, and executing deterministic state transitions with rollback safety.
Which technical personas benefit most from these capabilities?▼
Senior software engineers, systems architects, and technical governance leads benefit from these capabilities by standardizing decision-making, ensuring architectural compliance, and maintaining rigorous provenance for all repository modifications.
What are the primary dependencies for runtime execution?▼
Runtime execution requires a standard environment capable of parsing YAML/JSON schemas, executing shell commands, and interfacing with Git-based version control systems to manage branches, commits, and pull request metadata.