claude

daily

Day-to-day skills with memory: a morning briefing, a tutor that remembers what you got wrong, a retro that turns agent mistakes into one-line fixes, and animated explainer slides for teaching videos

9 on GitHubv1.0.0MITupdated 13 days ago
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Plugin daily from marketplace skillhub in duthaho/skillhub. Commands read from the repo's manifest — 13 days ago.

What it installs

Skills (21)

  • archdeck

    Animated explainer slides for programming videos — turns one technical problem (backend, database, system design, frontend, infra) into a deck of 1920×1080 HTML scenes that teach the mechanism: requests travel, scans crawl, races interleave, the bottleneck lights up. Picks a story arc, drafts a stor

  • autopilot

    The whole coding loop on one deliberate yes: map, spec, critic-hardened plan, GitHub issues, parallel worktree implementers, fresh-context review loops, one PR with the evidence. Acts only on its itemized charter; parks what it can't settle honestly. Commands: /autopilot <task> [--merge], resume, st

  • blueprint

    Human-facing documentation, architecture docs, and mermaid diagrams for a codebase, a module, or a feature — "draw me the architecture, with receipts." Fans out read-only sub-agents to build a grounded component graph first: every node is a real path, every edge backed by a grep-verified import or c

  • bugfix

    Lightweight bug-fixing loop — reproduce → root-cause → fix test-first → verify — deliberately separate from the heavyweight feature workflow so small fixes don't drag a spec-and-plan process behind them. Demands a deterministic reproduction before any code changes, a stated root-cause hypothesis con

  • cachewise

    Prompt-cache economics forensics — why your Claude Code tokens burn so fast, with the numbers to prove it. Parses local ~/.claude transcripts (0 tokens, a bundled Python script does the counting) and attributes every cache-miss rebuild to a cause — idle gaps past the 5-min TTL, mid-session model/eff

  • daybrief

    Morning work briefing — "what does my day look like, in one scan?" Gathers today's calendar and emails needing attention (via connected Google MCP tools when available), recent git activity and unfinished work across your local repos, your open tasks (TODO file / assigned GitHub issues), and a quick

  • done

    End-of-session shipping gate — "prove it works, then ship it." Runs an evidence checklist (full test suite, lint/typecheck, build, and actually running the change — output quoted, never asserted), then a fresh-context two-stage review by a sub-agent that sees only the diff and the spec: spec-complia

  • factcheck

    Adversarial citation and claim audit for any document — "do these sources actually say what the text claims?" Takes a markdown file, URL, or pasted draft (including this repo's own pulse/verdict briefs), extracts every checkable claim, then fans out verifier sub-agents instructed to refute, not conf

  • feature

    End-to-end feature workflow around the agent — spec by interview, a plan of 2–5-minute tasks, test-first execution with checkpoint commits, then an evidence-gated finish. Effort-scaled: a one-sentence diff skips straight to implementation; a real feature gets spec.md → plan.md → task-by-task TDD, wi

  • ideate

    Structured idea generation for a project or a blank-slate problem — ideas worth pursuing, not the first one that sticks. Grounds in the current repo (AGENTS.md/README) or a freeform problem, then diverges across named lenses (adjacent user, removed constraint, inversion, and more) so a run yields ra

  • jobfit

    Job-fit evaluation and discovery for job seekers — "find roles that fit me" and "should I apply to this one?" DISCOVER searches job boards for openings matching your profile; EVALUATE takes job URLs/descriptions you provide. Both research compensation, company signal, and posting legitimacy in paral

  • learn

    Personalized tutor with memory across sessions — "teach me X, at my pace." Builds a syllabus with a pass rubric per unit, teaches one unit per session: a recall quiz on what's due (date-based spaced repetition), examples matched to your background, and an active-recall check graded against the rubri

  • map

    Codebase orientation for an unfamiliar or large repo — "map this before I work in it." Fans out read-only Explore sub-agents that navigate the code (keyless — grep/glob/read, no embeddings to go stale) along the order that matters: entry points, build/test/lint commands, architecture and key abstrac

  • newskill

    Scaffold a new skillhub skill, or repair one that drifted, across all four registration surfaces in one motion — folder, README table row, marketplace plugin, and trigger evals — then prove it with validate-skills.py. User-invoked.

  • priorart

    Prior-art check before you build — does this idea already exist? Takes a project/tool/library idea, reframes it in the vocabularies different communities would use, searches where builders publish (code registries, Show HN, arXiv), traces each match one dependency-layer down to the real incumbent, a

  • pulse

    Community-pulse research on any topic — "what are people saying about X right now." Fans out parallel sub-agents across web search, Hacker News, Reddit, and GitHub; ranks findings by real engagement (points/upvotes/stars/comments); flags rumors; and writes a cited brief to chat plus saved .md and .h

  • refactor

    Evidence-driven refactoring — where does structural improvement actually pay off, then make that change without changing behavior. Survey mode diagnoses by evidence, not aesthetics — git churn × complexity hotspots, the recurring-bug log, upcoming work — and verdicts each candidate REFACTOR/PREP/LEA

  • revisit

    Revisit dashboard — one scan of everything you parked to re-check later, across every skill's memory. Reads out/*/tracker.md and the other memory files skills leave behind (ideate PARK "revive when", verdict/scout revisit-when triggers, refactor WATCH candidates, learn spaced-repetition due dates, j

  • scout

    Competitive reconnaissance for your project — what do the repos solving this same problem do better, and what's worth adopting? Finds peer repos (ranked by activity, downloads, dependents — never raw stars), mines what their users beg for — issue reactions, releases, docs claims, every finding with

  • tune

    Harness retro — turn recurring agent mistakes into one-line fixes. Mines recent session transcripts (plus the bugfix log and past runs) for repeated corrections, permission friction, and rules that get violated anyway, then proposes ranked changes one at a time: a CLAUDE.md rule, an allowlist entry,

  • verdict

    Architect-grade technology decision briefs — "which option should we pick, and why?" Takes a decision question (X vs Y vs Z for a stated context: library, database, framework, platform, buy-vs-build) plus your constraints, fans out parallel sub-agents to research each option's project health, commun

View source on GitHub

More from duthaho/skillhub

All 3 plugins →

The evidence-gated coding loop: orient (map), build (feature), fix (bugfix), improve (refactor), gate (done), and run it all on one yes (autopilot)

21 skills

9

research

claude

Cited, engagement-ranked research: community pulse, tech-decision verdicts, job-fit scoring, citation auditing, and competitive recon

21 skills

9

Maintain daily?

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