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cirf

Interactive crypto deep-research framework with agent-agent and human-agent collaboration for superior research outcomes

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SKILL.md
تعليمات المصدر · معاينة للقراءة فقط
name
cirf
version
1.0.0
description
Interactive crypto deep-research framework with agent-agent and human-agent collaboration for superior research outcomes
author
{"name":"Kudō","social":"https://x.com/kudodefi"}
homepage
https://github.com/kudodefi/cirf
metadata
{"emoji":"🔬","category":"research"}
# CIRF - Crypto Interactive Research Framework ## FRAMEWORK OVERVIEW CIRF is a systematic crypto research framework with: - **4 Specialized Agents** with distinct expertise - **17 Research Workflows** covering market, project, and technical analysis - **Workspace System** for project isolation and output management **Framework Location:** `./framework/` **Workspaces Location:** `./workspaces/` --- ## AGENT REGISTRY ### 🔬 Research Analyst - **File:** `./framework/agents/research-analyst.yaml` - **Expertise:** Market intelligence, project fundamentals, investment synthesis - **Workflows:** All research workflows (sector, project, competitive, trend, traction, tokenomics, etc.) - **Use for:** Market analysis, project evaluation, investment thesis ### ⚙️ Technology Analyst - **File:** `./framework/agents/technology-analyst.yaml` - **Expertise:** Architecture assessment, security analysis, technical evaluation - **Workflows:** technology-analysis - **Use for:** Smart contract review, protocol architecture, technical due diligence ### ✍️ Content Creator - **File:** `./framework/agents/content-creator.yaml` - **Expertise:** Research-to-content transformation, multi-platform optimization - **Workflows:** create-content - **Use for:** Converting research into threads, articles, reports ### ✓ QA Specialist - **File:** `./framework/agents/qa-specialist.yaml` - **Expertise:** Quality validation, critical review, bias detection - **Workflows:** qa-review - **Use for:** Reviewing outputs, challenging assumptions, finding gaps --- ## WORKFLOW REGISTRY ### Setup & Planning | ID | Description | |----|-------------| | `framework-init` | First-time user configuration | | `create-research-brief` | Define research scope & objectives | ### Market Intelligence | ID | Description | |----|-------------| | `sector-overview` | Sector structure, dynamics, key players | | `sector-landscape` | Ecosystem mapping, player categorization | | `competitive-analysis` | Head-to-head project comparison | | `trend-analysis` | Trend identification & forecasting | ### Project Fundamentals | ID | Description | |----|-------------| | `project-snapshot` | Quick project overview | | `product-analysis` | Product mechanics, PMF, innovation | | `team-and-investor-analysis` | Team background, investor quality | | `tokenomics-analysis` | Token economics, sustainability | | `traction-metrics` | Growth, retention, unit economics | | `social-sentiment` | Community health, sentiment | ### Technical & Quality | ID | Description | |----|-------------| | `technology-analysis` | Architecture, security, code quality | | `qa-review` | Validation, bias detection, gap analysis | ### Content & Flexible | ID | Description | |----|-------------| | `create-content` | Multi-format content package | | `open-research` | Custom research on any topic | | `brainstorm` | Ideation and exploration | --- ## ORCHESTRATION PROTOCOL ### STEP 1: UNDERSTAND Parse user's research goal: - **Subject:** Project, sector, or topic - **Outcome:** Investment decision, market understanding, content, etc. - **Scope:** Depth, time horizon, specific focus areas If unclear, ask clarifying questions before proceeding. ### STEP 2: PLAN & BUILD TASK QUEUE Create task queue with this structure: ``` TASK QUEUE: {research_goal} Workspace: {workspace_id} Created: {timestamp} | Task ID | Workflow | Agent | Status | Depends On | |---------|----------|-------|--------|------------| | T1 | {workflow} | {agent} | pending | - | | T2 | {workflow} | {agent} | pending | - | | T3 | {workflow} | {agent} | pending | T1, T2 | | ... | ... | ... | ... | ... | ``` **Status values:** `pending` → `in_progress` → `completed` | `failed` **Dependency rules:** - Tasks with no dependencies can run in parallel - Tasks wait for all dependencies to complete - Group tasks by agent for efficient spawning ### STEP 3: CONFIRM Present plan to user: ``` RESEARCH PLAN: {goal} Will execute {n} tasks across {n} agents: PHASE 1 (Parallel): • T1: {workflow} ({agent}) • T2: {workflow} ({agent}) PHASE 2 (After Phase 1): • T3-T5: {description} PHASE 3 (Final): • T6: {workflow} Proceed? [yes / adjust / questions] ``` Wait for user approval before execution. ### STEP 4: EXECUTE WITH PROGRESS TRACKING **4.1 Spawn agents by grouping:** - Group all tasks assigned to same agent - Spawn one sub-agent per agent-type with their full task list - Sub-agent executes tasks sequentially, respecting dependencies **4.2 Update progress after each task completion:** ``` PROGRESS UPDATE ═══════════════════════════════════════════ Overall: ████████░░░░░░░░ 50% (4/8 tasks) ✅ COMPLETED: • T1: {workflow} → {key finding summary} • T2: {workflow} → {key finding summary} 🔄 IN PROGRESS: • T3: {workflow} ({agent}) ⏳ PENDING: • T4: {workflow} (waiting for T3) • T5: {workflow} (waiting for T3, T4) ═══════════════════════════════════════════ ``` ### STEP 5: CONSOLIDATE When all tasks complete: 1. Collect outputs from `./workspaces/{workspace}/outputs/` 2. Synthesize key findings across all analyses 3. Generate final deliverable 4. Present to user with confidence level and recommendations --- ## SUB-AGENT SPAWN PROTOCOL Spawn agent with assigned task queue: ``` SPAWN: {agent-type} IDENTITY: Read and embody: ./framework/agents/{agent-id}.yaml WORKSPACE: ./workspaces/{workspace-id}/ TASK QUEUE: | Task ID | Workflow | Status | Depends On | |---------|----------|--------|------------| | T1 | {workflow-1} | pending | - | | T3 | {workflow-2} | pending | T1 | | T6 | {workflow-3} | pending | T3 | EXECUTION PROTOCOL: For each task in queue (in dependency order): 1. CHECK DEPENDENCIES - If dependencies not completed, wait or skip to next available task 2. UPDATE STATUS - Mark task: in_progress 3. READ WORKFLOW FILES - ./framework/workflows/{workflow-id}/workflow.yaml - ./framework/workflows/{workflow-id}/objectives.md - ./framework/workflows/{workflow-id}/template.md 4. READ CONTEXT - ./framework/core-config.yaml (user preferences) - ./workspaces/{workspace}/workspace.yaml (project context) 5. EXECUTE - Follow methodology in objectives.md - Apply output structure from template.md 6. SAVE OUTPUT - Path: ./workspaces/{workspace}/outputs/{workflow-id}/{workflow-id}-{date}.md 7. UPDATE STATUS - Mark task: completed 8. REPORT TO ORCHESTRATOR - task_id - output_path - key_findings (3-5 bullets) - confidence (high/medium/low) COMPLETION: When all assigned tasks done, report final summary to orchestrator. ``` --- ## WORKSPACE MANAGEMENT ### Initialize Workspace Before execution, ensure workspace exists: 1. Check if `./workspaces/{workspace-id}/` exists 2. If not, create workspace: - Copy template from `./framework/_workspace.yaml` - Create `documents/` directory - Create `outputs/` directory 3. Update workspace.yaml with project metadata ### Output Structure ``` workspaces/{project}/ ├── workspace.yaml # Project configuration ├── documents/ # Source materials, references └── outputs/ ├── sector-overview/ │ └── sector-overview-{date}.md ├── project-snapshot/ │ └── project-snapshot-{date}.md ├── tokenomics-analysis/ │ └── tokenomics-analysis-{date}.md └── ... ``` --- ## CONFIGURATION Read `./framework/core-config.yaml` at initialization: | Field | Purpose | |-------|---------| | `status.initialized` | If `false`, run `framework-init` first | | `user.name` | For personalized communication | | `language.communication` | Interaction language (en/vi/zh) | | `language.output` | Output document language (en/vi/zh) | | `user.currency` | Currency format preference | | `user.date_format` | Date format preference | --- ## ERROR HANDLING If a task fails: 1. **Mark status:** `failed` 2. **Log error:** Record reason in task queue 3. **Notify orchestrator** with error details 4. **Determine action:** - **Retry:** Attempt task again (max 2 retries) - **Skip:** Continue if non-critical (mark skipped) - **Pause:** Stop execution and ask user for guidance ``` ⚠️ TASK FAILED ═══════════════════════════════════════════ Task: T3 - tokenomics-analysis Agent: Research Analyst Error: {error description} Options: 1. Retry task 2. Skip and continue 3. Pause and review ═══════════════════════════════════════════ ``` --- ## QUALITY STANDARDS All research outputs must: - **Source citations:** Include source name, date, and credibility level - **Information classification:** Distinguish verified facts vs credible reports vs speculation - **Confidence levels:** State confidence (high/medium/low) for conclusions - **Language compliance:** Follow `language.output` setting - **Terminology:** Preserve English crypto domain terms regardless of output language - **Structure:** Follow workflow template.md format --- ## QUICK REFERENCE ### Activation Checklist 1. Read this SKILL.md 2. Check `./framework/core-config.yaml` → `status.initialized` 3. If not initialized, run `framework-init` workflow 4. Ready to accept research goals ### Research Execution Flow ``` User Goal → Understand → Plan → Confirm → Execute → Consolidate → Deliver ``` ### Key Paths | Resource | Path | |----------|------| | Agents | `./framework/agents/{agent-id}.yaml` | | Workflows | `./framework/workflows/{workflow-id}/` | | Config | `./framework/core-config.yaml` | | Workspace Template | `./framework/_workspace.yaml` | | Workspaces | `./workspaces/{workspace-id}/` | | Outputs | `./workspaces/{workspace-id}/outputs/{workflow-id}/` |
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