trends
Skill1 starsChanged 32 days agoMITView on GitHub
Instructions for the upstream workflow: Track a project's audit metrics over time (directive score, duplication, LOC, always-on cost, fix count, recurring Markdown review state) and show the change since the previous run. Use to see whether the project is getting healthier/cheaper across audits.
5 other projects use a version of this, 1 of them edited.
Adopted by
Most recently taken up by
- zedarvates/botte-secreteedited, first seen Aug 8, 2026
- JustOneMoreTry/NoMoreHigstheir own version, first seen Aug 4, 2026
- tance-mang/chinese-webnovel-skillstheir own version, first seen Jun 12, 2026
- enkerewpo/zoresearchtheir own version, first seen Apr 30, 2026
- idapixl/social-media-suitetheir own version, first seen Mar 4, 2026
Other versions5 projects use a version of this.
Word for word · 0
None found.
Edited · 1
- zedarvates/botte-secrete★ 278% same
Wrote their own version · 4
- tance-mang/chinese-webnovel-skills★ 97same name
- idapixl/social-media-suite★ 8same name
- enkerewpo/zoresearch★ 1same name
- JustOneMoreTry/NoMoreHigs★ 0same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository114 other files it gives its agents.
- agent-cacheSkill
- agent-compressionSkill
- agent-intelSkill
- agent-overlapSkill
- agent-stateSkill
- ambient-hudSkill
- app-testSkill
- audit-dagSkill
- auto-distillSkill
- auto-memorySkill
- auto-routerSkill
- benchSkill
- bootstrapSkill
- botte-learnSkill
- botte-nnSkill
- botte-proxySkill
- botte-wrapSkill
- cacheSkill
- call-chainsSkill
- capabilitiesSkill
- cardinalSkill
- checkupSkill
- clarificationSkill
- clusterSkill
- code-complexitySkill
- code-duplicationSkill
- code-fingerprintSkill
- code-rulesSkill
- code-stateSkill
- code-wrappersSkill
- comfyuiSkill
- completion-proofSkill
- conductorSkill
- context-budgetSkill
- context-compressorSkill
- context-profilerSkill
- context-slicerSkill
- context-windowsSkill
- control-loopSkill
- cost-estimatorSkill
- dag-optimizerSkill
- dashboardSkill
- decision-ladderSkill
- demoSkill
- diff-languageSkill
- directives-auditSkill
- docgenSkill
- docs-stewardSkill
- dynamic-workflowsSkill
- efficiencySkill
- eventsSkill
- fallow-likeSkill
- fallowSkill
- fast-contextSkill
- fixSkill
- fleetSkill
- hailo-visionSkill
- harness-deltaSkill
- harvestSkill
- hermes-bridgeSkill
- The first 60 shown.
The file
Files
trends — the project's metrics over time
Package scope and prerequisites
This catalog ships instructions, not the executable runtime. Python modules, scripts, local services and optional tools named below must be installed separately from the upstream project. Check their availability before running commands; if they are missing, explain the prerequisite instead of claiming execution or results. The host agent may use model tokens while following these instructions.
python -m skills.trends.cli snapshot . # record current metrics
python -m skills.trends.cli show . # series + Δ since previous runEach snapshot appends to .botte/trends.jsonl; show reports the series and
the delta (e.g. "duplicate_groups 35 ▼ 12"). Markdown history is aggregate-only:
due, current, overdue/changed, and never-reviewed counts. It persists no paths,
document content, prompts, or model responses. Run it after each checkup to
watch the project improve. Exposed via [[llm-mcp]] as trends_show. Related:
[[checkup]], [[docs-steward]], [[metrics]], [[report]].
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
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Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.