research-sirejeff-k0ntext
RPI Research Phase - Systematic codebase exploration with parallel agents and chunked output
Profile →npx skills add majiayu000/claude-skill-registry --skill research-sirejeff-k0ntext --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Context Engineering: Research Phase (Enhanced) When invoked, perform systematic codebase exploration using parallel agents: ## Key Innovation: Inter-Phase Awareness This research phase **KNOWS** how RPI-Plan will consume its output: - Output structured into research chunks (CHUNK-R1, CHUNK-R2, etc.) - Each chunk is self-contained with files, dependencies, and status - RPI-Plan will create a CHUNK-Pn todolist per CHUNK-Rn - Chunk manifest enables sequential processing by RPI-Plan ## Process 1. **Initialize Research Document** - Create `.claude/research/active/[feature]_research.md` - Use template from `.claude/research/RESEARCH_TEMPLATE.md` 2. **Spawn Parallel Agents (3-5 agents)** ``` Agent 1: API/Route Entry Points → CHUNK-R1 Agent 2: Business Logic & Models → CHUNK-R2 Agent 3: Database/Storage Layer → CHUNK-R3 Agent 4: External Integrations → CHUNK-R4 Agent 5: Test Coverage Analysis → CHUNK-R5 ``` Each agent receives: - Feature name and objective - Assigned domain - Required output format (chunk structure) - Line number requirement for all file references 3. **Per-Agent Chunk Output** Each agent produces a self-contained chunk: ```markdown ## CHUNK-Rn: [Domain] **Status:** COMP
- Key Innovation: Inter-Phase Awareness
- Process
- Chunk Manifest Format (Required)
- Context Budget
- Output
- Next Step
What does the research-sirejeff-k0ntext skill do?
RPI Research Phase - Systematic codebase exploration with parallel agents and chunked output
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill research-sirejeff-k0ntext --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.