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Analyze skill gaps, career alignment, and market fit using ChromaDB knowledge.
Mit Codex oder Claude installieren Kopieren Sie diesen Prompt, fügen Sie ihn in Codex, Claude oder einen anderen Assistant ein und lassen Sie die Skill-Seite prüfen und installieren.
Basierend auf der SOC-Berufsklassifikation
Dual-model adversarial review: local and delegated reviewers audit independently, verdicts are synthesized.
Implement the SDD task list. Read tasks and design from memory, write code, run tests.
Archive all SDD artifacts for a change as a single completed record in memory.
Write the technical design for a planned change: components, interfaces, data flows, edge cases.
Explore the codebase to build context for a planned change. First phase of the SDD workflow.
Propose 2–3 solution approaches for a planned change, evaluating trade-offs and recommending one.
| name | career-analyze |
| description | Analyze skill gaps, career alignment, and market fit using ChromaDB knowledge. |
| compatibility | opencode |
| when_to_use | When the user wants career analysis, skill gap assessment, or market positioning. |
| model | high |
| user-invocable | false |
| hub-skill-ids | ["career-intelligence","analysis"] |
| allowed-tools | ["Bash","Read","WebFetch"] |
Analyze career data from the knowledge base against target roles and market data.
Career data must be gathered first. Check knowledge base:
from fu7ur3pr00f.memory.knowledge import get_knowledge_store
store = get_knowledge_store()
stats = store.get_stats()
If stats["total_chunks"] == 0, tell the user to run /gather first.
from fu7ur3pr00f.utils.data_loader import load_career_data_for_analysisfrom fu7ur3pr00f.memory.profile import load_profile## Skill Gap Analysis: [Target Role]
### Current Skills
[from profile + knowledge base]
### Required Skills
[from market research]
### Gaps
- Missing: [list]
- Emerging: [list]
### Recommendations
1. [actionable step]
2. [actionable step]