Pratham Nahata
Community@iamv1 · Delhi
Finding Ways
Agent Skills by Pratham Nahata
Showing 18 vetted skills indexed across 1 GitHub repositories.
iAMv1context-manager
Capture, load, and restore task state across multi-task project sessions.
iAMv1knowledge-synthesis
Synthesize scattered information into structured knowledge artifacts through a four-phase workflow.
iAMv1communication-design
Structure complex ideas into audience-appropriate communications using audience analysis and structured writing.
iAMv1deep-research
Coordinate multi-source research and produce a cited report with confidence levels.
iAMv1task-decomposer
Decompose task specifications into phase-based parallel execution plans with dependency graphs.
iAMv1agent-os-master
Enhance prompts, decompose tasks, and execute parallel subagents.
iAMv1risk-assessment
Identify, analyze, and mitigate risks with likelihood and impact scoring.
iAMv1capability-injector
Inject modular capabilities into AI Coding Agents via plugins, hooks, and MCP servers.
iAMv1problem-decomposition
Decompose complex problems into 3-7 sub-problems with dependency maps and execution plans.
iAMv1meta-cognition
Evaluate reasoning steps, assumptions, and biases before presenting conclusions.
iAMv1strategic-planning
Transform vague objectives into phased strategic plans with milestones and risks.
iAMv1optimization-engine
Identify bottlenecks and optimize software system performance with profiling and measurement.
iAMv1quality-assurance
Enforce explicit quality standards across code, documents, plans, and processes.
iAMv1learning-accelerator
Generate optimized learning paths from knowledge audits and dependency graphs.
iAMv1superpowers-patterns
Enforce quality controls on multi-step AI tasks with gates and checklists.
iAMv1ralph-loop
Automate iterative quality improvement using Plan, Execute, Review, Learn cycles.
iAMv1prompt-enhancer
Transform vague prompts into precise, actionable specifications with clarifying questions.
iAMv1decision-framework
Frame and optimize software decisions with explicit criteria and weighted scoring.