chore(ai): archive session record

1 files changed, 47 insertions, 48 deletions

diff --git a/todo.org b/todo.org
index d5e0e6a..16e3c41 100644
--- a/todo.org
+++ b/todo.org
@@ -886,54 +886,6 @@ Triggers that would prompt "let's build it now":
 Upstream reference (do not vendor): ComposioHQ/awesome-claude-skills
 =content-research-writer/SKILL.md=.
 
-** CANCELLED [#C] Try Skill Seekers on a real DeepSat docs-briefing need :chore:
-CLOSED: [2026-06-10 Wed]
-:PROPERTIES:
-:LAST_REVIEWED: 2026-05-28
-:END:
-
-=Skill Seekers= ([[https://github.com/yusufkaraaslan/Skill_Seekers]]) is a Python
-CLI + MCP server that ingests 18 source types (docs sites, PDFs, GitHub
-repos, YouTube videos, Confluence, Notion, OpenAPI specs, etc.) and
-exports to 20+ AI targets including Claude skills. MIT licensed, 12.9k
-stars, active as of 2026-04-12.
-
-*Evaluated: 2026-04-19 — not adopted for rulesets.* Generates
-*reference-style* skills (encyclopedic dumps of scraped source material),
-not *operational* skills (opinionated how-we-do-things content). Doesn't
-fit the rulesets curation pattern.
-
-*Next-trigger experiment (this TODO):* the next time a DeepSat task needs
-Claude briefed deeply on a specific library, API, or docs site — try:
-#+begin_src bash
-pip install skill-seekers
-skill-seekers create <url> --target claude
-#+end_src
-Measure output quality vs hand-curated briefing. If usable, consider
-installing as a persistent tool. If output is bloated / under-structured,
-discard and stick with hand briefing.
-
-*Candidate first experiments (pick one from an actual need, don't invent):*
-- A Django ORM reference skill scoped to the version DeepSat pins
-- An OpenAPI-to-skill conversion for a partner-vendor API
-- A React hooks reference skill for the frontend team's current patterns
-- A specific AWS service's docs (e.g. GovCloud-flavored)
-
-*Patterns worth borrowing into rulesets even without adopting the tool:*
-- Enhancement-via-agent pipeline (scrape raw → LLM pass → structured
-  SKILL.md). Applicable if we ever build internal-docs-to-skill tooling.
-- Multi-target export abstraction (one knowledge extraction → many output
-  formats). Clean design for any future multi-AI-tool workflow.
-
-*Concerns to verify on actual use:*
-- =LICENSE= has an unfilled =[Your Name/Username]= placeholder (MIT is
-  unambiguous, but sloppy for a 12k-star project)
-- Default branch is =development=, not =main= — pin with care
-- Heavy commercialization signals (website at skillseekersweb.com,
-  Trendshift promo, branded badges) — license might shift later; watch
-- Companion =skill-seekers-configs= community repo has only 8 stars
-  despite main's 12.9k — ecosystem thinner than headline adoption
-
 ** TODO [#D] Revisit =c4-*= rename if a second notation skill ships :chore:
 :PROPERTIES:
 :LAST_REVIEWED: 2026-06-10
@@ -2533,3 +2485,50 @@ Craig approved the spec ([[file:docs/design/2026-06-02-pattern-catalog-spec.org]
 
 *** 2026-06-05 Fri @ 00:47:59 -0500 Built the catalog — 6 seed patterns + pointer + README
 Created =patterns/= with the six seed patterns (one-prompt-picker-typed-prefix, transient-state-buttons, no-empty-input-as-meaningful, label-matches-behavior, default-most-common-friction-proportional, collapse-orthogonal-prompts), each carrying the frontmatter contract (name/principle/problem/tags/source/examples) plus Problem/Do/Anti-pattern/Applicability/Related sections. =patterns/README.org= states the root principle, the frontmatter contract, and the intake cadence. =claude-rules/patterns.md= is the agent-facing pointer, auto-installed via the Makefile RULES glob. Sourced from the four pearl notes in =docs/design/=.
+** CANCELLED [#C] Try Skill Seekers on a real DeepSat docs-briefing need :chore:
+CLOSED: [2026-06-10 Wed]
+:PROPERTIES:
+:LAST_REVIEWED: 2026-05-28
+:END:
+
+=Skill Seekers= ([[https://github.com/yusufkaraaslan/Skill_Seekers]]) is a Python
+CLI + MCP server that ingests 18 source types (docs sites, PDFs, GitHub
+repos, YouTube videos, Confluence, Notion, OpenAPI specs, etc.) and
+exports to 20+ AI targets including Claude skills. MIT licensed, 12.9k
+stars, active as of 2026-04-12.
+
+*Evaluated: 2026-04-19 — not adopted for rulesets.* Generates
+*reference-style* skills (encyclopedic dumps of scraped source material),
+not *operational* skills (opinionated how-we-do-things content). Doesn't
+fit the rulesets curation pattern.
+
+*Next-trigger experiment (this TODO):* the next time a DeepSat task needs
+Claude briefed deeply on a specific library, API, or docs site — try:
+#+begin_src bash
+pip install skill-seekers
+skill-seekers create <url> --target claude
+#+end_src
+Measure output quality vs hand-curated briefing. If usable, consider
+installing as a persistent tool. If output is bloated / under-structured,
+discard and stick with hand briefing.
+
+*Candidate first experiments (pick one from an actual need, don't invent):*
+- A Django ORM reference skill scoped to the version DeepSat pins
+- An OpenAPI-to-skill conversion for a partner-vendor API
+- A React hooks reference skill for the frontend team's current patterns
+- A specific AWS service's docs (e.g. GovCloud-flavored)
+
+*Patterns worth borrowing into rulesets even without adopting the tool:*
+- Enhancement-via-agent pipeline (scrape raw → LLM pass → structured
+  SKILL.md). Applicable if we ever build internal-docs-to-skill tooling.
+- Multi-target export abstraction (one knowledge extraction → many output
+  formats). Clean design for any future multi-AI-tool workflow.
+
+*Concerns to verify on actual use:*
+- =LICENSE= has an unfilled =[Your Name/Username]= placeholder (MIT is
+  unambiguous, but sloppy for a 12k-star project)
+- Default branch is =development=, not =main= — pin with care
+- Heavy commercialization signals (website at skillseekersweb.com,
+  Trendshift promo, branded badges) — license might shift later; watch
+- Companion =skill-seekers-configs= community repo has only 8 stars
+  despite main's 12.9k — ecosystem thinner than headline adoption