education-agent-skills
claude165 evidence-grounded skills for teachers, school leaders and EdTech: pedagogy, learning science, curriculum, assessment.
165 skills
Terse output mode and token-saving tooling.
Plugin caveman from marketplace giofornari in giofornari/skills. Commands read from the repo's manifest — 4 days ago.
This plugin runs code on your machine — its hooks fire automatically on events like tool use. The exact commands are listed below; read them before installing.
cavecrewWhen to delegate to `cavecrew-investigator` (locate code), `cavecrew-builder` (1-2 file edit) or `cavecrew-reviewer` (diff review) instead of working inline or using `Explore`. Their output is compressed, so main context lasts longer.
caveman-compressCompress a memory file such as CLAUDE.md or a todo list into caveman format to save input tokens, keeping a readable backup. Sends the file's text to the configured model provider. Trigger: /caveman-compress.
caveman-statsShow recorded output and cache-read token usage and mode attribution for the current Claude Code session, or locate the host's native usage report. Trigger: /caveman-stats.
cavemanTerse caveman voice: answer first, fluff gone, every technical fact kept. Use for /caveman, "caveman mode", "talk like caveman", "be brief", "less tokens". Stays on until "stop caveman" or "normal mode".
megacaveCaveman in Classical Chinese: 文言文 register, far fewer characters, technical terms verbatim. Invoke only with /megacave or /caveman wenyan. Stays on until "stop caveman" or "normal mode".
ultracaveCaveman at maximum compression: fragments, one word when one word is enough, each fact once. Invoke only with /ultracave or /caveman ultra. Stays on until "stop caveman" or "normal mode".
caveman-commitWrite a Conventional Commits message compressed to intent only. Use for "write a commit", "commit message", /commit or /caveman-commit.
caveman-discoverFind and label every LLM workflow in the repository so Caveman Cloud groups spend by workflow instead of one bucket. Use for "discover workflows" or breaking LLM spend down by workflow.
caveman-evidence-reviewRead-only review of Caveman Cloud evidence: cost, Cave Score, workflows, traces, latency, errors, routing, savings. Use when asked what Caveman found or where LLM spend goes.
caveman-exploreRead-only repository explorer for cold-start orientation, broad cross-file localization, or when a direct search failed. Skip it when the exact file or symbol is already named. Returns path:line citations only; its reads stay out of main context.
caveman-helpQuick-reference card for the three caveman skills and their commands. Trigger: /caveman-help or "caveman help".
caveman-learnAct on a Caveman learn report - review the ranked token sinks, apply cost-lowering fixes with per-edit consent, and report what those fixes returned. Use when asked to lower an agent's token cost, what caveman has saved, to trim a heavy CLAUDE.md, or to offload re-pasted context into cavemem.
caveman-manageInspect Caveman Cloud's experiment lifecycle and block unsafe execution. Use when asked to start, approve, cancel, promote or roll back a Caveman experiment.
caveman-optimizeTurn a Caveman optimization observation into an operator-chosen candidate with a paired baseline evaluation. Use when asked to inspect or evaluate a Caveman optimization report. Needs explicit approval.
caveman-reviewCompressed code review - one line per finding with location, problem and fix. Use for /caveman-review, "review this PR", or "review the diff".
caveman-setupWire a repository through the Caveman Cloud gateway so every LLM request is measured, with no behavior change. Use for "set up caveman" or adding LLM spend observability.
investigate-firstDiagnose ambiguous failures before editing. Use for unknown causes, intermittent behavior, performance regressions, or investigations needing evidence-ranked hypotheses.
lean-buildBuild feature work with high overbuilding risk. Use for new behavior, product slices, or integrations where repository reuse, strict scope, and an explicit stop condition matter.
migrationImplement reversible compatibility-safe transitions. Use for schema, data, API, protocol, configuration, or dependency migrations requiring rollback and preservation proof.
safe-refactorRestructure code while preserving behavior. Use for extraction, consolidation, ownership moves, or cleanup where verification must bracket structural edits.
surgical-patchFix bugs and small behavior changes at the narrowest responsible layer. Use when regression proof, preserved surrounding behavior, and task-relevant tests matter.
verify-and-stopProve existing work meets acceptance conditions without expanding scope. Use for validation-only tasks, completion checks, focused gate runs, and last-mile proof.
/caveman:caveman-initDrop the always-on caveman activation rule into the current repo for every IDE agent
cavecrew-builderSurgical 1-2 file edit. Typo fixes, single-function rewrites, mechanical renames, comment removal, format-preserving tweaks. Hard refuses 3+ file scope. Returns caveman diff receipt. Use when scope is bounded and obvious; do NOT use for new features, new files (unless asked), or cross-file refactors
cavecrew-investigatorRead-only code locator. Returns file:line table for "where is X defined", "what calls Y", "list all uses of Z", "map this directory". Output is caveman-compressed, one row per hit, to keep main-thread context small. Refuses to suggest fixes.
cavecrew-reviewerDiff/branch/file reviewer. One line per finding, severity-tagged, no praise, no scope creep. Output format `path:line: <emoji> <severity>: <problem>. <fix>.` Use for "review this PR", "review my diff", "audit this file". Skips formatting nits unless they change meaning.
command -v node >/dev/null 2>&1 || exit 0; HOOK_ROOT=$(printf %s "${CLAUDE_PLUGIN_ROOT}" | sed 's|^/\([a-zA-Z]\)/|\1:/|'); node "$HOOK_ROOT/src/hooks/caveman-activate.js"
command -v node >/dev/null 2>&1 || exit 0; HOOK_ROOT=$(printf %s "${CLAUDE_PLUGIN_ROOT}" | sed 's|^/\([a-zA-Z]\)/|\1:/|'); node "$HOOK_ROOT/src/hooks/caveman-activate.js" --subagent
command -v node >/dev/null 2>&1 || exit 0; HOOK_ROOT=$(printf %s "${CLAUDE_PLUGIN_ROOT}" | sed 's|^/\([a-zA-Z]\)/|\1:/|'); node "$HOOK_ROOT/src/hooks/caveman-mode-tracker.js"
command -v node >/dev/null 2>&1 || exit 0; HOOK_ROOT=$(printf %s "${CLAUDE_PLUGIN_ROOT}" | sed 's|^/\([a-zA-Z]\)/|\1:/|'); node "$HOOK_ROOT/src/hooks/caveman-stats.js" --record
165 evidence-grounded skills for teachers, school leaders and EdTech: pedagogy, learning science, curriculum, assessment.
165 skills
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Long-term semantic memory for Claude Code, powered by OpenViking
5 skills · 1 command · 1 MCP server · hooks
Manage tasks, plan your day, and build up memory of important context about your work. Syncs with your calendar, email, and chat to keep everything organized and on track.
4 skills · 9 MCP servers
Persistent memory for AI coding agents -- captures tool usage, compresses via LLM, injects context into future sessions
17 skills · 1 MCP server · hooks
A four-tier memory ladder for Claude Code where promotion is earned by recurrence, not asserted by confidence. L0 raw transcripts are never injected; L1 candidate atoms are gitignored and recalled on lexical relevance per prompt; L2 project context loads each session start; L3 stable persona is always loaded. L1 to L2 needs three distinct sessions spanning two distinct calendar days (a stated claim needs two; a verified claim is the only single-observation path); L2 to L3 needs two projects and thirty days. Two gates refuse rather than guess: a claim altered by the redaction pass never promotes on evidence alone, and a contradicted claim freezes until a human resolves it. Three hooks run the loop unattended and every one fails open. Nothing reaches a committed CLAUDE.md without an explicit human adopt. Ships 5 stdlib scripts, 3 hooks, a cs-memory-curator agent, /cs-memory, a JSON schema, and a 69-check validator. Concept from TencentCloud/TencentDB-Agent-Memory (MIT); no upstream code included.
1 skill · 1 command · 1 agent · hooks
Comprehensive context engineering and harness engineering skills for production-grade AI agent systems: fundamentals, degradation patterns, compression, optimization, self-managed context (model-controlled live context editing), multi-agent coordination, long-horizon prompting (pseudo-formal task briefs for long-running and parallel agents), memory systems, tool design, filesystem context, hosted agents, evaluation, autonomous harnesses, self-improvement loops (RSI, meta-harnesses, evolutionary scaffold search), latent briefing (KV cache sharing between agents), project development, and cognitive architecture. Ships with a researcher operating system (rubrics, mechanism registry, claim provenance, run state machine, adversarial benchmarks, continuous loop).
19 skills
Skills plus explorer and reviewer subagents for building, scaffolding, debugging, understanding, and auditing applications with the Atomic Agents Python framework. Progressive-disclosure references for schemas, agents, tools, context providers, prompts, orchestration, memory, hooks, providers, project structure, and testing — plus a troubleshoot diagnostic, isolated-context subagents for codebase mapping and code review, and a new-app scaffolder.
7 skills · 2 agents
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