agentdb-advanced
Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems…
Run the SPARC Specification phase — gather requirements, define acceptance criteria, identify constraints, and store the spec in memory
$ npx -y skills add ruvnet/ruflo --skill sparc-spec --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/sparc-specContext preview
The summary Claude sees to decide when to auto-load this skill.
Run the SPARC Specification phase — gather requirements, define acceptance criteria, identify constraints, and store the spec in memory
name: sparc-spec description: Run the SPARC Specification phase — gather requirements, define acceptance criteria, identify constraints, and store the spec in memory argument-hint: "<feature-description>" allowed-tools: mcp__plugin_ruflo-core_ruflo__memory_store mcp__plugin_ruflo-core_ruflo__memory_search mcp__plugin_ruflo-core_ruflo__memory_retrieve mcp__plugin_ruflo-core_ruflo__task_create mcp__plugin_ruflo-core_ruflo__task_update mcp__plugin_ruflo-core_ruflo__task_complete mcp__plugin_ruflo-core_ruflo__hooks_intelligence_trajectory-start mcp__plugin_ruflo-core_ruflo__hooks_intelligence_trajectory-step mcp__plugin_ruflo-core_ruflo__neural_predict Bash Read Edit
Run Phase 1 of the SPARC methodology: define what must be built and how success is measured.
When starting a new feature or project that needs structured requirements gathering before any code is written. This phase produces the foundational specification that all subsequent phases (Pseudocode, Architecture, Refinement, Completion) build upon.
1. **Initialize phase tracking** — call `mcp__plugin_ruflo-core_ruflo__hooks_intelligence_trajectory-start` with metadata `{ "phase": "specification", "feature": "$ARGUMENTS" }`
2. **Check for prior work** — call `mcp__plugin_ruflo-core_ruflo__memory_search` with namespace `sparc-state` and query for the feature to see if a SPARC workflow already exists. If it does, retrieve existing artifacts. If not, initialize state with phase 1.
3. **Search for similar patterns** — call `mcp__plugin_ruflo-core_ruflo__neural_predict` with the feature description to find relevant past specifications and learned patterns
4. **Gather requirements** — analyze the feature description and the codebase to identify:
5. **Define acceptance criteria** — write at least 3 concrete, testable acceptance criteria in Given/When/Then format:
AC-1: Given [precondition], when [action], then [expected result] AC-2: Given [precondition], when [action], then [expected result] AC-3: Given [precondition], when [action], then [expected result]
6. **Identify constraints** — document:
7. **Map edge cases** — list at least 3 edge cases or failure scenarios:
8. **Store specification** — call `mcp__plugin_ruflo-core_ruflo__memory_store` with:
9. **Update phase state** — call `mcp__plugin_ruflo-core_ruflo__memory_store` with:
10. **Record trajectory step** — call `mcp__plugin_ruflo-core_ruflo__hooks_intelligence_trajectory-step` with the specification summary
11. **Present specification** — display the full specification document to the user with a summary table and suggest running `/sparc advance` to pass the gate and move to the Pseudocode phase
# Specification: {Feature Name}
## Requirements
### Functional
- FR-1: ...
- FR-2: ...
### Non-Functional
- NFR-1: ...
## Acceptance Criteria
- AC-1: Given ..., when ..., then ...
- AC-2: Given ..., when ..., then ...
- AC-3: Given ..., when ..., then ...
## Constraints
- Performance: ...
- Security: ...
- Compatibility: ...
## Edge Cases
- EC-1: ...
- EC-2: ...
- EC-3: ...
## Integration Points
- IP-1: ...
---
Phase 1 complete. Run `/sparc advance` to pass the gate check.An agent meta-harness for Claude Code and Codex. 📖 RuFlo Explained — Build an AI Team That Plans, Remembers, Tests, and Improves A 14-chapter guide: from the basic idea to a first useful task, then memory, agent teams, plugins, cost and verification.
Repo: ruvnet/ruflo
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