
from agent-skills13
Analyze collaboration and human–AI interaction across sessions to surface metrics, patterns, and concrete Start/Stop/Continue recommendations.
This skill analyzes captured session logs to measure collaboration quality across two dimensions: technical effectiveness (context management, guidance, critical thinking, bias) and cognitive posture (intentionality, agency, impact). It extracts prompts, tool calls, durations, and events to produce quantified summaries and actionable Start/Stop/Continue recommendations written to a retro insights file.
Use when you want to audit a set of sessions (team retros, agent runs, human–AI experiments) over a time period. Typical triggers: retrospective reviews, periodic QA of agent interactions, or when tracking improvement in collaboration skills across releases.
.retro/insights/collab/{PERIOD}.md.Best for agents and workflows that can access session logs and run simple shell helpers (Cursor/Claude plugin-style environments); works as a guidance skill for evaluation rather than a UI tool.
Retrospect Collab is a collaboration analysis skill that guides agents through analyzing human-AI session patterns across technical effectiveness and cognitive posture dimensions. The SKILL.md is well-written with clear steps, role definition, and evidence-based principles, but references an external script (retrospect-load-sessions.sh) and reference.md that aren't bundled, making it incomplete and non-functional out of the box. No security concerns — purely instructional with no executable code.
Well-structured skill conceptually with good analytical framework (Start/Stop/Continue, impact categorization, bias awareness). The cynefin-domain and verb annotations are a nice touch. Main weakness is lack of bundled resources making it non-functional without the original repo.