mattpocock-skills
claudeMatt Pocock's agent skills for real engineering (grilling, spec/ticket flows, TDD, code review, domain modelling and more).
39 skills
D∞ — the ⟨parts | Ω⟩ shape every durable teaching, framework, plan, and joke has, as a working toolchain: an agent embodied in a directory, three operators (FACTOR / ADJOIN / CHRISTEN), and a gate that catches a missing closure at the syntax level.
Not in a marketplace yet, so it loads for one session with --plugin-dir.
Plugin dinf in sancovp/dinf. Commands read from the repo's manifest — 1 month ago.
dinf-loopthe dinf default workflow (BanditChain) — walk it
dinf-adjoinADJOIN — two frames fighting is a missing Ω one level up; pair them and close it
dinf-christenCHRISTEN — name the invariant the moment things converge, or it evaporates
dinf-factorFACTOR — find any framework's Ω by the three laws; what remains is k
dinf-shapethe governing chain: factor to the closure, inhabit a view, lift at the boundary, join into a plan, realize it
dinfbanditChain-of-reasoning (spoken, ends in a decision): factor the task to its closure, inhabit one view, lift at boundaries, join into a plan, realize it.
loop-closure-attention-1Attention template (how to think): attend to Stop, Fingerprint → hold Sealed.
loop-closure-attention-2Attention template (how to think): attend to Run, Check, Spend → hold Verified.
loop-closure-attention-3Attention template (how to think): attend to Verdict, Cost → hold Reported.
loop-closurebanditChain-of-reasoning (spoken, ends in a decision): loop-closure: seal the stop condition before the worker starts, then price one verified task.
banditchainChain-of-reasoning (spoken, ends in a decision): frame the task, recall a proven chain, choose exploit (select) vs explore (construct), execute it, record the reward.
dinf-attentionAttention template (how to think): attend to Factor, Inhabit, Lift, Join → hold Realized.
0-dinf[0] dinf: in the dinf domain: frame the task, recall a proven dinf chain, choose exploit (select a golden chain) vs explore (construct a new one), execute it, record the reward
bandit-chain-systemHow the bandit (the default ChainSelector persona) rolls up the AC→CoR→SC algebra and CLOSES it into a domain-specific persona — a self-contained "bandit chain system" that builds its own KB and improves itself via GlyphSteer chains. Use when asked to mint a domain agent, "roll up an algebra", close
0.2-dinf-loop[0.2] the dinf default workflow (BanditChain) — walk it
0.1-dinfbandit[0.1] in the dinf domain: frame the task, recall a proven dinf chain, choose exploit (select a golden chain) vs explore (construct a new one), execute it, record the reward
0.1.3-dinf-adjoin[0.1.3] ADJOIN — two frames fighting is a missing Ω one level up; pair them and close it
0.1.4-dinf-christen[0.1.4] CHRISTEN — name the invariant the moment things converge, or it evaporates
0.1.2-dinf-factor[0.1.2] FACTOR — find any framework's Ω by the three laws; what remains is k
0.1.1-dinf-shape[0.1.1] the governing chain: factor to the closure, inhabit a view, lift at the boundary, join into a plan, realize it
0.3-loop-closure-cor[0.3] loop-closure: seal the stop condition before the worker starts, then price one verified task
0.3.1-loop-closure-attention-1[0.3.1] loop-closure: seal the stop condition before the worker starts, then price one verified task
0.3.2-loop-closure-attention-2[0.3.2] loop-closure: seal the stop condition before the worker starts, then price one verified task
0.3.3-loop-closure-attention-3[0.3.3] loop-closure: seal the stop condition before the worker starts, then price one verified task
loop-closureClose an agent loop before you run it: name the closure state, predate the check, pick a progress fingerprint, then cost it per verified task.
using-dinfWHAT: the D∞ notation — the ⟨parts | Ω⟩ shape every durable teaching, framework, plan, and joke has — plus the three operators over it (FACTOR, ADJOIN, CHRISTEN) and the `dinf` CLI that makes the missing-closure defect machine-catchable. WHEN: when stuck; when a plan feels like unjoined parts; when
Matt Pocock's agent skills for real engineering (grilling, spec/ticket flows, TDD, code review, domain modelling and more).
39 skills
Persistent memory for Claude Code: the next session starts where the last one left off.
29 skills · 1 MCP server · hooks
Open-source AI job search that runs locally in your AI coding CLI: scan job portals, evaluate listings into a structured A-H report with a 1-5 score, tailor your CV, track applications
5 skills · hooks
Cross-session memory and token savings for coding agents.
6 skills · 1 agent · 1 MCP server · hooks
Up-to-date documentation lookup. Pull version-specific documentation and code examples directly from source repositories into your coding agent's context.
1 MCP server
Automates browser interactions for web testing, form filling, screenshots, and data extraction
12 skills
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