Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add TechNickAI/ai-coding-config/plugin install ai-coding-configWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/technickai/ai-coding-config/learn)<a href="https://agentmods.dev/skills/technickai/ai-coding-config/learn"><img src="https://agentmods.dev/badge/skills/technickai/ai-coding-config/learn/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/technickai/ai-coding-config/learn"><img src="https://agentmods.dev/badge/skills/technickai/ai-coding-config/learn.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00025 | $0.01571 |
| Opus 5.5 | $0.00010 | $0.00628 |
| Sonnet 5.5 | $0.00005 | $0.00314 |
| Haiku 4.5 | $0.00003 | $0.00157 |
Grade A, and why
learn scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 25d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 214 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Project Learnings
Manage project-specific operational knowledge that persists across Claude Code sessions. Learnings complement the memory system — memory stores cross-project user preferences, learnings store project-specific operational knowledge.
Storage
Learnings live in plain markdown files alongside the project's memory directory:
~/.claude/projects/{project-hash}/learnings/
├── index.md # Quick-reference summary (briefing for new sessions)
├── patterns.md # "This codebase does X because Y"
├── pitfalls.md # "Don't do X, it breaks Y"
├── operational.md # "Build requires Z, deploy needs W"
└── decisions.md # "We chose X over Y because Z"
Note:
/learnis a skill trigger — not a registered slash command. Invoke it by saying "show learnings", "add a learning", etc. The index is not auto-loaded at session start. To load it automatically, add this line to your project's CLAUDE.md:@~/.claude/projects/{project-hash}/learnings/index.md
Usage
show learnings— Show the index (quick reference of all learnings)add a learning— Add a new learning interactivelysearch learnings <query>— Search all learnings files for a termprune learnings— Check for stale entries (referenced files that no longer exist)export learnings— Export learnings as a block suitable for CLAUDE.mdlearning stats— Show counts by category (total + per file)
Adding a Learning
When adding a learning (either via /learn add or at end of session), classify it:
pattern — How this codebase does things. Conventions, architecture patterns, integration approaches that aren't obvious from reading the code.
## Build system uses turborepo with custom pipeline
The monorepo runs `turbo build` but the order matters — `packages/db` must build before
`apps/api` because it generates Prisma types. Running `turbo build --filter=apps/api`
alone will fail with missing types.
pitfall — Things that break. Gotchas, footguns, things that look right but aren't.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 25d ago First seen · 214 lines · 25 tokens per session scan A 2e69b0018899
learn is a skill published in the GitHub repository TechNickAI/ai-coding-config (24 stars, last pushed 26d ago), licensed MIT. It adds 25 tokens to every session and 1,571 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-22.
Other skills, from other repositories
continuous-learning
Use when a mistake, correction, or surprise taught the workspace something that must stick — a retro or postmortem, the same agent error corrected twice, a resolved bug's root cause, scattered notes-to-self — and route that lesson to the durable surface that fires next time. NOT a forward choice with alternatives…
scout
Research the web for solutions, competitors, alternatives, or prior art for a decision facing this project — then store the findings in project memory so they survive the session. Use when choosing a library or approach, comparing tools, checking what others do, or evaluating whether to build vs adopt.
recall
Answer "why" and "when" questions about a project's decisions — the intent behind a past choice, when it was made, what was tried before and rejected. Use when asked why something was decided, what the rationale was, or before reversing or redoing earlier work. For why the code mechanically behaves a certain way use…
antigravity-skill-orchestrator
A meta-skill that understands task requirements, dynamically selects appropriate skills, tracks successful skill combinations using agent-memory-mcp, and prevents skill overuse for simple tasks.
wiki-lint
Audit wiki health: broken links, orphans, contradictions, stale content, lifecycle and tag issues. Use for maintenance or health checks. Default is report-only; use wiki-dedup for page-identity merges.
wiki-status
Report wiki ingestion/completeness state, pending source delta, structural insights, or maintenance equilibrium. Use for remaining-work/status questions, hubs and bridges, or whether maintenance skills still have pending changes. wiki-digest summarizes learned knowledge instead.