Tibsfox/gsd-skill-creator

GSD Skill Creator

An adaptive learning and coprocessor architecture for Claude Code, built as an extension to GSD (open-gsd)

npx @opengsd/get-shit-done-redux@latest

npx gsd-skill-creator@latest

v1.49.561 — Living Sensoria

Eight composable modules (M1–M8) ship in v1.49.561, extending gsd-skill-creator with a native memory stack, a net-shift receptor substrate, a Markov-blanket boundary layer, and a teaching/co-evolution relationship layer. All modules default off via opt-in flags; v1.49.560 installs load unchanged.

| Module | What it adds | Guide | |--------|-------------|-------| | M1–M5 Memory Stack | Semantic graph, hybrid memory, trace ledger, branch-context, orchestration | docs/memory-stack.md | | M6 Sensoria | Lanzara net-shift receptor substrate for skill activation | docs/sensoria.md | | M7 Umwelt | Markov-blanket boundary with variational free-energy minimiser | docs/umwelt.md | | M8 Symbiosis | Teaching ledger, co-evolution offerings, Quintessence five-axis report | docs/symbiosis.md |

Theoretical foundations (Lanzara 2023, Friston 2010, Kirchhoff et al. 2018, Foxglove 2026, Traag 2019) are documented with primary-source citations in docs/foundations/theoretical-audit.md.

Refinement wave (added 2026-04-18): six further components land in v1.49.561 — ME-5 output-structure frontmatter, ME-1 tractability classifier, MA-6 canonical reinforcement taxonomy, MA-1 eligibility-trace layer, MA-2 ACE actor-critic wire, ME-4 coin-flip teach warning. Keystone insight from Zhang et al. 2026: prompt-content edits are statistically indistinguishable from a coin flip except when the skill declares exploitable output structure. Overview + through-line: docs/refinement-wave.md. Indiv