skillminerSuggest reusable skills from recurring patterns in local memory files. Human review gate, drafts only to skills/_pending/, local-first runner with optional e...
Install via ClawdBot CLI:
clawdbot install robbyczgw-cla/skillminerGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://github.com/robbyczgw-cla/skillminer.gitAudited Apr 19, 2026 · audit v1.0
Generated Oct 2, 2026
A solo developer uses skillminer to watch their daily memory logs and spot which repetitive debugging, refactoring, or scaffolding tasks they keep performing manually. Each accepted candidate becomes a drafted SKILL.md in skills/_pending/ that they review and promote into reusable automation. This turns months of scattered notes into a personal library of time-saving skills.
A small digital agency runs skillminer against shared memory files so recurring client deliverables like SEO audits, report formatting, or onboarding checklists can be codified. Team leads review pending drafts each morning and promote the ones that match their service catalog. This standardizes delivery quality without forcing engineers to document processes manually.
An individual AI assistant power user leverages skillminer to detect patterns in how they repeatedly instruct their assistant for content writing, research summarization, or email triage. The human review gate ensures only genuinely useful patterns become skills while noise stays silenced. Over time they build a personal skill stack that mirrors their unique working style.
An operations or support team logs recurring incident responses, ticket triage steps, and runbook tasks into memory files. skillminer surfaces candidates weekly, letting the team accept high-value patterns as draft skills and reject one-offs with a reason for the ledger. This systematically reduces toil while keeping a clear audit trail of what was considered and why.
Independent consultants accumulate repeated analysis frameworks, proposal structures, and client intake steps across engagements. skillminer mines their local memory for these recurring motions and drafts candidate skills they can promote into a portable toolkit. Because everything stays on-host by default, sensitive client details never leave the consultant's machine.
Distribute skillminer as an open-source local-first tool to drive adoption, then monetize a team tier offering shared pending-skill review, role-based accept/reject permissions, and centralized ledger dashboards. The free tier keeps full local functionality while paid features target collaboration and governance.
Operate a curated marketplace where users can publish promoted skills (anonymized and opt-in) and discover skills forged by others in similar domains. Skillminer's local-first design builds trust, while the marketplace monetizes discovery and distribution of high-quality reusable skills.
License skillminer to enterprises as part of an internal AI enablement platform, bundling it with onboarding, custom runner integrations, and compliance review tooling. Enterprises value the human review gate and local-only default runner for security-sensitive environments where data cannot leave the host.
💬 Integration Tip
Install via `openclaw skills install skillminer`, run `setup.sh`, then do a manual nightly scan before wiring up scheduler jobs so you can confirm the review output matches your workflow; keep FORGE_RUNNER unset unless you explicitly accept sending prompt data to Anthropic's API.
Scored Oct 17, 2026
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