From 4fe16cf61ff4738e46a4b680c0c2ec05cd23fd3c Mon Sep 17 00:00:00 2001
From: "Sebastian (Tiedtke) Huckleberry" <sebastiantiedtke@gmail.com>
Date: Tue, 21 Jul 2026 14:30:26 -0700
Subject: [PATCH 1/7] Add generated skill blog post

Signed-off-by: Sebastian (Tiedtke) Huckleberry <sebastiantiedtke@gmail.com>
---
 fsPosts/skill-doesnt-work-yet.md              |  42 ++++++++++++++++++
 .../img/blog/skill-doesnt-work-yet-cover.png  | Bin 0 -> 28963 bytes
 utils/fsPosts.json                            |   1 +
 3 files changed, 43 insertions(+)
 create mode 100644 fsPosts/skill-doesnt-work-yet.md
 create mode 100644 public/img/blog/skill-doesnt-work-yet-cover.png

diff --git a/fsPosts/skill-doesnt-work-yet.md b/fsPosts/skill-doesnt-work-yet.md
new file mode 100644
index 0000000..ae6f993
--- /dev/null
+++ b/fsPosts/skill-doesnt-work-yet.md
@@ -0,0 +1,42 @@
+---
+post_title: "You Generated the Skill. It Doesn't Work Yet."
+post_author: "Sebastian Huckleberry"
+post_author_avatar: "sebastian-(tiedtke)-huckleberry.jpg"
+post_author_url: "https://twitter.com/sourishkrout"
+date: "2026-07-21"
+post_image: "skill-doesnt-work-yet-cover.png"
+post_excerpt: "A generated skill can look right while overfitting the moment that produced it. The fix is a tighter eval loop where the skill and the judge make each other sharper."
+post_slug: "skill-doesnt-work-yet"
+tags: ["developer tools", "ai", "automation", "skills"]
+category: "runme"
+post_date_in_url: false
+post_og_image: "hero"
+posts_related: []
+id: "cmgeneratedskilldoesntwork"
+stage: "PUBLISHED"
+archive: false
+canonical_url: ""
+runme_blog: true
+---
+
+You generated a skill. Good. That is the easy part.
+
+LLMs are not generating bad skills because they are careless, or because they misunderstand what a skill is supposed to be. They are doing exactly what they were trained to do: infer the most likely behavior from the context in front of them. Given one repo, one task, and one successful outcome, they will often produce a skill that recreates that outcome beautifully.
+
+That is also the problem.
+
+A generated skill can look correct while being too specific to the moment that produced it. It may work once, in one repo, under one set of assumptions.
+
+## When Agents Generate Context Blind
+
+What makes it sting is that the eval has the same problem: it can certify the very overfit it was supposed to catch. If the same model generated both the skill and the test, the eval is not yet an impartial judge. That is like asking a team to referee its own game.
+
+A good eval should push against the skill: test what it is likely to fake, skip, or overfit. The skill should push back by revealing weak rubrics, missing edge cases, and shortcuts the judge accidentally rewards. That tension is the loop. Each side makes the other sharper.
+
+Let's make that concrete.
+
+## The Setup
+
+Say we generated a dependency-updater skill.
+
+...
diff --git a/public/img/blog/skill-doesnt-work-yet-cover.png b/public/img/blog/skill-doesnt-work-yet-cover.png
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diff --git a/utils/fsPosts.json b/utils/fsPosts.json
index b8e1a89..b18a8e7 100644
--- a/utils/fsPosts.json
+++ b/utils/fsPosts.json
@@ -1,4 +1,5 @@
 {
+  "skill-doesnt-work-yet": "skill-doesnt-work-yet.md",
   "runme-eval": "runme-eval.md",
   "substitute-yaml-with-nouns-verbs": "substitute-yaml-with-nouns-verbs.md",
   "typed-env-vars": "typed-env-vars.md",

From d6513a12f470bb60af309d50211ccb081ebb4c13 Mon Sep 17 00:00:00 2001
From: "Sebastian (Tiedtke) Huckleberry" <sebastiantiedtke@gmail.com>
Date: Tue, 21 Jul 2026 14:52:15 -0700
Subject: [PATCH 2/7] Polish generated skill blog introduction

Signed-off-by: Sebastian (Tiedtke) Huckleberry <sebastiantiedtke@gmail.com>
---
 fsPosts/skill-doesnt-work-yet.md | 10 ++++------
 1 file changed, 4 insertions(+), 6 deletions(-)

diff --git a/fsPosts/skill-doesnt-work-yet.md b/fsPosts/skill-doesnt-work-yet.md
index ae6f993..136c6b0 100644
--- a/fsPosts/skill-doesnt-work-yet.md
+++ b/fsPosts/skill-doesnt-work-yet.md
@@ -19,13 +19,13 @@ canonical_url: ""
 runme_blog: true
 ---
 
-You generated a skill. Good. That is the easy part.
+Your agent generated a skill. Good. That was the easy part.
 
-LLMs are not generating bad skills because they are careless, or because they misunderstand what a skill is supposed to be. They are doing exactly what they were trained to do: infer the most likely behavior from the context in front of them. Given one repo, one task, and one successful outcome, they will often produce a skill that recreates that outcome beautifully.
+The skill can look right. It may even work beautifully for the repo and task that produced it, under the same assumptions. It may have captured the moment, not the method.
 
-That is also the problem.
+The model was neither careless nor confused. It did exactly what it was trained to do: infer the most likely behavior from the context in front of it. Give it one repo, one task, and one successful outcome, and it cannot reliably tell which details should generalize and which are specific to that instance.
 
-A generated skill can look correct while being too specific to the moment that produced it. It may work once, in one repo, under one set of assumptions.
+It may reproduce the outcome without capturing the broader capability you thought you captured.
 
 ## When Agents Generate Context Blind
 
@@ -33,8 +33,6 @@ What makes it sting is that the eval has the same problem: it can certify the ve
 
 A good eval should push against the skill: test what it is likely to fake, skip, or overfit. The skill should push back by revealing weak rubrics, missing edge cases, and shortcuts the judge accidentally rewards. That tension is the loop. Each side makes the other sharper.
 
-Let's make that concrete.
-
 ## The Setup
 
 Say we generated a dependency-updater skill.

From e48402941b8e417f7d6934dc38a9a5431f9ce193 Mon Sep 17 00:00:00 2001
From: "Sebastian (Tiedtke) Huckleberry" <sebastiantiedtke@gmail.com>
Date: Tue, 21 Jul 2026 15:00:34 -0700
Subject: [PATCH 3/7] Sharpen skill pressure section heading

Signed-off-by: Sebastian (Tiedtke) Huckleberry <sebastiantiedtke@gmail.com>
---
 fsPosts/skill-doesnt-work-yet.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/fsPosts/skill-doesnt-work-yet.md b/fsPosts/skill-doesnt-work-yet.md
index 136c6b0..97be419 100644
--- a/fsPosts/skill-doesnt-work-yet.md
+++ b/fsPosts/skill-doesnt-work-yet.md
@@ -33,7 +33,7 @@ What makes it sting is that the eval has the same problem: it can certify the ve
 
 A good eval should push against the skill: test what it is likely to fake, skip, or overfit. The skill should push back by revealing weak rubrics, missing edge cases, and shortcuts the judge accidentally rewards. That tension is the loop. Each side makes the other sharper.
 
-## The Setup
+## Put the Skill Under Pressure
 
 Say we generated a dependency-updater skill.
 

From 6a96c26dd067235543ec5f8fae915f173186fd64 Mon Sep 17 00:00:00 2001
From: "Sebastian (Tiedtke) Huckleberry" <sebastiantiedtke@gmail.com>
Date: Tue, 21 Jul 2026 15:10:58 -0700
Subject: [PATCH 4/7] Clarify generated eval feedback loop

Signed-off-by: Sebastian (Tiedtke) Huckleberry <sebastiantiedtke@gmail.com>
---
 fsPosts/skill-doesnt-work-yet.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/fsPosts/skill-doesnt-work-yet.md b/fsPosts/skill-doesnt-work-yet.md
index 97be419..7d25a21 100644
--- a/fsPosts/skill-doesnt-work-yet.md
+++ b/fsPosts/skill-doesnt-work-yet.md
@@ -29,9 +29,9 @@ It may reproduce the outcome without capturing the broader capability you though
 
 ## When Agents Generate Context Blind
 
-What makes it sting is that the eval has the same problem: it can certify the very overfit it was supposed to catch. If the same model generated both the skill and the test, the eval is not yet an impartial judge. That is like asking a team to referee its own game.
+What makes it sting is that generated evals have the same problem: they can certify the very overfit they were supposed to catch. If the same model generated both the skill and the test, the eval is not yet an impartial judge. That is like asking a sports team to referee its own game.
 
-A good eval should push against the skill: test what it is likely to fake, skip, or overfit. The skill should push back by revealing weak rubrics, missing edge cases, and shortcuts the judge accidentally rewards. That tension is the loop. Each side makes the other sharper.
+Think of the skill as the unit under test and the eval as its test suite. The eval should expose where the skill fakes, skips, or overfits. In turn, surprising passes should reveal weak assertions, missing edge cases, and shortcuts the eval accidentally rewards. That tension is the loop. Each side makes the other sharper.
 
 ## Put the Skill Under Pressure
 

From 33e1c8827ce9ef5677c9c8ab1e64cfcb01fd5fce Mon Sep 17 00:00:00 2001
From: "Sebastian (Tiedtke) Huckleberry" <sebastiantiedtke@gmail.com>
Date: Tue, 21 Jul 2026 15:30:28 -0700
Subject: [PATCH 5/7] Sharpen blog excerpt hook

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Signed-off-by: Sebastian (Tiedtke) Huckleberry <sebastiantiedtke@gmail.com>
---
 fsPosts/skill-doesnt-work-yet.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/fsPosts/skill-doesnt-work-yet.md b/fsPosts/skill-doesnt-work-yet.md
index 7d25a21..859d0b3 100644
--- a/fsPosts/skill-doesnt-work-yet.md
+++ b/fsPosts/skill-doesnt-work-yet.md
@@ -5,7 +5,7 @@ post_author_avatar: "sebastian-(tiedtke)-huckleberry.jpg"
 post_author_url: "https://twitter.com/sourishkrout"
 date: "2026-07-21"
 post_image: "skill-doesnt-work-yet-cover.png"
-post_excerpt: "A generated skill can look right while overfitting the moment that produced it. The fix is a tighter eval loop where the skill and the judge make each other sharper."
+post_excerpt: "A generated skill captures a moment; an eval loop turns it into a method. The catch: generation feels like the finish line, so the loop never gets built. Here's how to pressure-test it."
 post_slug: "skill-doesnt-work-yet"
 tags: ["developer tools", "ai", "automation", "skills"]
 category: "runme"

From e3d2d46bfa3e12d99793befa265653d778eef5a4 Mon Sep 17 00:00:00 2001
From: "Sebastian (Tiedtke) Huckleberry" <sebastiantiedtke@gmail.com>
Date: Tue, 21 Jul 2026 15:33:17 -0700
Subject: [PATCH 6/7] Refine skill post wording

Signed-off-by: Sebastian (Tiedtke) Huckleberry <sebastiantiedtke@gmail.com>
---
 fsPosts/skill-doesnt-work-yet.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/fsPosts/skill-doesnt-work-yet.md b/fsPosts/skill-doesnt-work-yet.md
index 859d0b3..a072132 100644
--- a/fsPosts/skill-doesnt-work-yet.md
+++ b/fsPosts/skill-doesnt-work-yet.md
@@ -21,7 +21,7 @@ runme_blog: true
 
 Your agent generated a skill. Good. That was the easy part.
 
-The skill can look right. It may even work beautifully for the repo and task that produced it, under the same assumptions. It may have captured the moment, not the method.
+The skill can look right. It may even work beautifully for the repo and task that produced it, under the same conditions. It may have captured the moment, not the method.
 
 The model was neither careless nor confused. It did exactly what it was trained to do: infer the most likely behavior from the context in front of it. Give it one repo, one task, and one successful outcome, and it cannot reliably tell which details should generalize and which are specific to that instance.
 

From 1fc27be3cd009ad6d34a790d32d0a1582e77cf8d Mon Sep 17 00:00:00 2001
From: "Sebastian (Tiedtke) Huckleberry" <sebastiantiedtke@gmail.com>
Date: Tue, 21 Jul 2026 15:39:26 -0700
Subject: [PATCH 7/7] Polish skill post excerpt

Signed-off-by: Sebastian (Tiedtke) Huckleberry <sebastiantiedtke@gmail.com>
---
 fsPosts/skill-doesnt-work-yet.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/fsPosts/skill-doesnt-work-yet.md b/fsPosts/skill-doesnt-work-yet.md
index a072132..186d805 100644
--- a/fsPosts/skill-doesnt-work-yet.md
+++ b/fsPosts/skill-doesnt-work-yet.md
@@ -5,7 +5,7 @@ post_author_avatar: "sebastian-(tiedtke)-huckleberry.jpg"
 post_author_url: "https://twitter.com/sourishkrout"
 date: "2026-07-21"
 post_image: "skill-doesnt-work-yet-cover.png"
-post_excerpt: "A generated skill captures a moment; an eval loop turns it into a method. The catch: generation feels like the finish line, so the loop never gets built. Here's how to pressure-test it."
+post_excerpt: "A generated skill captures a moment. An eval loop turns it into a method. The catch: generation feels like the finish line, so the loop never gets built. Here's how to pressure-test it."
 post_slug: "skill-doesnt-work-yet"
 tags: ["developer tools", "ai", "automation", "skills"]
 category: "runme"