Analyzes session history to generate detailed reports on development patterns and tool usage efficiency.
Install
mkdir -p .claude/skills/insights && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/11772" && unzip -o skill.zip -d .claude/skills/insights && rm skill.zipInstalls to .claude/skills/insights
Activation
This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.
Generate an oh-my-kimicli usage insights report from KimiCLI sessions. Use when the user asks for usage insights, session analysis, work patterns, friction analysis, suggestions, skill opportunities, repeated-instruction analysis, or an insights report.Key capabilities
- →Generate a narrative usage report from KimiCLI session history
- →Generate a quick, local, statistical report without LLM processing
- →Extract session facets and write them to `insights-facets.json`
- →Generate a final `report.json` including metrics, facets, sections, and quality notes
- →Generate a self-contained `report.html` from `report.json`
- →Self-review the generated report for accuracy and completeness
How it works
The skill processes KimiCLI session packets to extract facets and metrics, then generates a narrative report. It follows a workflow that includes reading task files, extracting facets, generating JSON and HTML reports, and self-reviewing the output.
Inputs & outputs
When to use insights
- →Analyzing development workflow efficiency
- →Identifying repeated manual tasks
- →Generating project progress reports
About this skill
OMK Insights
Generate a usage report from KimiCLI session history. OMK collects bounded evidence and session packet files; the current agent writes the narrative report directly.
Route
- Default narrative report: run
omk insights message <args>. - Quick, local, statistical, or
--no-llmrequest: runomk insights --no-llm <args>and summarize paths/counts only. - If
omkis unavailable, ask the user to runomk setupor reinstall oh-my-kimicli.
Pass through relevant flags such as --limit, --facet-limit, and --force. For token-saving requests, prefer --facet-limit 10.
Narrative Workflow
- Run
omk insights message <args>. - Read the generated
insights-agent-task.md. - Read the generated
manifest.json. - Read ranked session packet files from the manifest, starting with
recommended_read_mode: "deep". - Extract session facets and write
insights-facets.json. - Generate the final
report.jsondirectly. It must include metrics, facets, sections, and quality notes. - Generate the final self-contained
report.htmldirectly fromreport.json. - Self-review before the final response:
- facets were written before the report
- At a Glance was written after the other sections
- suggestions are evidence-backed
- weak sections are omitted or moved to Evidence Notes
- headings avoid awkward machine translation
- skill opportunities exist only when repeated usage, clear friction, or high leverage is visible
Treat the task file as the authority for paths, limits, language guidance, report shape, and the final user question.
Boundaries
- Do not run bare
omk insightsfor the narrative workflow. - Do not run
omk insights render; that pipeline is intentionally removed. - Do not run
kimi --print. - Do not manually scan
~/.kimi/sessions. - Do not paste full raw transcripts into context.
- Do not create or update skills, hooks, or AGENTS.md during the report run. Ask first.
No entries,暂无信息, or an omitted section is valid when evidence is weak.- Do not manufacture recommendations just to fill a section.
- If the task brief is insufficient, read the reported
insights-input.jsonand session packet files. If they are too large, rerun with a smaller--limitor--facet-limit.
Final Response
Report only:
- HTML report path
- JSON report path
- sessions scanned/analyzed
- weak-evidence sections or data limits, if any
- one short question asking whether to create or update a skill, hook, or AGENTS.md instruction only when the report has a concrete skill opportunity with action
create_skill,update_skill,add_hook, oradd_agents_instruction
If there is no reliable candidate, say that the current evidence is not strong enough to create a targeted skill yet.
When not to use it
- →When the user wants to run bare `omk insights` for the narrative workflow
- →When the user wants to run `omk insights render`
- →When the user wants to manually scan `~/.kimi/sessions`
Prerequisites
Limitations
- →Does not create or update skills, hooks, or AGENTS.md during the report run without asking first
- →Does not manufacture recommendations just to fill a section
- →Does not paste full raw transcripts into context
How it compares
This skill automates the analysis of KimiCLI session data and generates a structured, self-contained report, providing insights that would otherwise require manual review of session logs.
Compared to similar skills
insights side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| insights (this skill) | 0 | 3mo | No flags | Intermediate |
| bv | 3 | 2mo | Review | Intermediate |
| org-health-diagnostic | 1 | 2mo | Review | Intermediate |
| rollup | 0 | 3mo | No flags | Beginner |
Try saying
Example prompts that trigger this skill in your AI assistant.
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