From idstack
Manages idstack project learnings: search, list, delete, promote, and export across sessions. Activates for 'what have we learned', 'show learnings', prune stale, or export queries.
npx claudepluginhub savvides/idstackThis skill is limited to using the following tools:
<!-- AUTO-GENERATED from SKILL.md.tmpl -- do not edit directly -->
Orchestrates idstack pipeline, chaining skills from /needs-analysis to /course-export in evidence-based order, auto-skipping completed steps for fresh starts or resumptions.
Manages project learnings in markdown files: view index, add patterns/pitfalls/operational notes/decisions, search, prune, export for CLAUDE.md persistence across sessions.
Captures insights as markdown files, searches prior learnings, and promotes patterns to CLAUDE.md using tiered backends (local, qmd, agent-fs) for knowledge across projects.
Share bugs, ideas, or general feedback.
if [ -n "${CLAUDE_PLUGIN_ROOT:-}" ]; then
_IDSTACK="$CLAUDE_PLUGIN_ROOT"
elif [ -n "${IDSTACK_HOME:-}" ]; then
_IDSTACK="$IDSTACK_HOME"
else
_IDSTACK="$HOME/.claude/plugins/idstack"
fi
_UPD=$("$_IDSTACK/bin/idstack-update-check" 2>/dev/null || true)
[ -n "$_UPD" ] && echo "$_UPD"
If the output contains UPDATE_AVAILABLE: tell the user "A newer version of idstack is available. Run cd ${IDSTACK_HOME:-~/.claude/plugins/idstack} && git pull && ./setup to update. (The ./setup step is required — it cleans up legacy symlinks.)" Then continue normally.
Before starting, check for an existing project manifest.
if [ -f ".idstack/project.json" ]; then
echo "MANIFEST_EXISTS"
"$_IDSTACK/bin/idstack-migrate" .idstack/project.json 2>/dev/null || cat .idstack/project.json
else
echo "NO_MANIFEST"
fi
If MANIFEST_EXISTS:
If NO_MANIFEST:
if [ -f ".idstack/project.json" ] && command -v python3 &>/dev/null; then
python3 -c "
import json, sys
try:
data = json.load(open('.idstack/project.json'))
prefs = data.get('preferences', {})
v = prefs.get('verbosity', 'normal')
if v != 'normal':
print(f'VERBOSITY:{v}')
except: pass
" 2>/dev/null || true
fi
If VERBOSITY:concise: Keep explanations brief. Skip evidence citations inline (still follow evidence-based recommendations, just don't cite tier codes in output). If VERBOSITY:detailed: Include full evidence citations, alternative approaches considered, and rationale for each recommendation. If VERBOSITY:normal or not shown: Default behavior — cite evidence tiers inline, explain key decisions, skip exhaustive alternatives.
_PROFILE="$HOME/.idstack/profile.yaml"
if [ -f "$_PROFILE" ]; then
# Simple YAML parsing for experience_level (no dependency needed)
_EXP=$(grep -E '^experience_level:' "$_PROFILE" 2>/dev/null | sed 's/experience_level:[[:space:]]*//' | tr -d '"' | tr -d "'")
[ -n "$_EXP" ] && echo "EXPERIENCE:$_EXP"
else
echo "NO_PROFILE"
fi
If EXPERIENCE:novice: Provide more context for recommendations. Explain WHY each
step matters, not just what to do. Define jargon on first use. Offer examples.
If EXPERIENCE:intermediate: Standard explanations. Assume familiarity with
instructional design concepts but explain idstack-specific patterns.
If EXPERIENCE:expert: Be concise. Skip basic explanations. Focus on evidence
tiers, edge cases, and advanced considerations. Trust the user's domain knowledge.
If NO_PROFILE: On first run, after the main workflow is underway (not before),
mention: "Tip: create ~/.idstack/profile.yaml with experience_level: novice|intermediate|expert
to adjust how much detail idstack provides."
Check for session history and learnings from prior runs.
# Context recovery: timeline + learnings
_HAS_TIMELINE=0
_HAS_LEARNINGS=0
if [ -f ".idstack/timeline.jsonl" ]; then
_HAS_TIMELINE=1
if command -v python3 &>/dev/null; then
python3 -c "
import json, sys
lines = open('.idstack/timeline.jsonl').readlines()[-200:]
events = []
for line in lines:
try: events.append(json.loads(line))
except: pass
if not events:
sys.exit(0)
# Quality score trend
scores = [e for e in events if e.get('skill') == 'course-quality-review' and 'score' in e]
if scores:
trend = ' -> '.join(str(s['score']) for s in scores[-5:])
print(f'QUALITY_TREND: {trend}')
last = scores[-1]
dims = last.get('dimensions', {})
if dims:
tp = dims.get('teaching_presence', '?')
sp = dims.get('social_presence', '?')
cp = dims.get('cognitive_presence', '?')
print(f'LAST_PRESENCE: T={tp} S={sp} C={cp}')
# Skills completed
completed = set()
for e in events:
if e.get('event') == 'completed':
completed.add(e.get('skill', ''))
print(f'SKILLS_COMPLETED: {','.join(sorted(completed))}')
# Last skill run
last_completed = [e for e in events if e.get('event') == 'completed']
if last_completed:
last = last_completed[-1]
print(f'LAST_SKILL: {last.get(\"skill\",\"?\")} at {last.get(\"ts\",\"?\")}')
# Pipeline progression
pipeline = [
('needs-analysis', 'learning-objectives'),
('learning-objectives', 'assessment-design'),
('assessment-design', 'course-builder'),
('course-builder', 'course-quality-review'),
('course-quality-review', 'accessibility-review'),
('accessibility-review', 'red-team'),
('red-team', 'course-export'),
]
for prev, nxt in pipeline:
if prev in completed and nxt not in completed:
print(f'SUGGESTED_NEXT: {nxt}')
break
" 2>/dev/null || true
else
# No python3: show last 3 skill names only
tail -3 .idstack/timeline.jsonl 2>/dev/null | grep -o '"skill":"[^"]*"' | sed 's/"skill":"//;s/"//' | while read s; do echo "RECENT_SKILL: $s"; done
fi
fi
if [ -f ".idstack/learnings.jsonl" ]; then
_HAS_LEARNINGS=1
_LEARN_COUNT=$(wc -l < .idstack/learnings.jsonl 2>/dev/null | tr -d ' ')
echo "LEARNINGS: $_LEARN_COUNT"
if [ "$_LEARN_COUNT" -gt 0 ] 2>/dev/null; then
"$_IDSTACK/bin/idstack-learnings-search" --limit 3 2>/dev/null || true
fi
fi
If QUALITY_TREND is shown: Synthesize a welcome-back message. Example: "Welcome back. Quality score trend: 62 -> 68 -> 72 over 3 reviews. Last skill: /learning-objectives." Keep it to 2-3 sentences. If any dimension in LAST_PRESENCE is consistently below 5/10, mention it as a recurring pattern with its evidence citation.
If LAST_SKILL is shown but no QUALITY_TREND: Just mention the last skill run. Example: "Welcome back. Last session you ran /course-import."
If SUGGESTED_NEXT is shown: Mention the suggested next skill naturally. Example: "Based on your progress, /assessment-design is the natural next step."
If LEARNINGS > 0: Mention relevant learnings if they apply to this skill's domain. Example: "Reminder: this Canvas instance uses custom rubric formatting (discovered during import)."
You are the idstack learnings manager. Your job is to help the user review, search, and manage the learnings that idstack has accumulated during course design sessions.
Learnings are stored in .idstack/learnings.jsonl (project-local) and optionally
~/.idstack/global/learnings.jsonl (cross-project).
Parse the user's intent and map to one of these commands:
Show the most recent learnings. If the user just said /learn with no arguments,
this is the default.
_IDSTACK="${IDSTACK_HOME:-~/.claude/plugins/idstack}"
"$_IDSTACK/bin/idstack-learnings-search" --limit 10
Format the output as a readable table:
Key | Type | Insight | Confidence
─────────────────┼──────────────┼──────────────────────────────────┼───────────
canvas-rubrics | operational | Uses HTML format for rubrics | 8/10
bloom-verbs | pedagogical | Avoid "understand" as ILO verb | 9/10
Search learnings by keyword. Supports --cross-project to include global learnings.
_IDSTACK="${IDSTACK_HOME:-~/.claude/plugins/idstack}"
"$_IDSTACK/bin/idstack-learnings-search" --keyword KEYWORD --limit 10
For cross-project search:
_IDSTACK="${IDSTACK_HOME:-~/.claude/plugins/idstack}"
"$_IDSTACK/bin/idstack-learnings-search" --keyword KEYWORD --cross-project --limit 10
If results include global learnings (tagged with _source), show their source project.
Delete a learning by its key. Always confirm with the user before deleting.
_IDSTACK="${IDSTACK_HOME:-~/.claude/plugins/idstack}"
"$_IDSTACK/bin/idstack-learnings-delete" KEY
Copy a local learning to the global store so it's available across projects.
_IDSTACK="${IDSTACK_HOME:-~/.claude/plugins/idstack}"
"$_IDSTACK/bin/idstack-learnings-promote" KEY
Export all learnings to a markdown file.
_IDSTACK="${IDSTACK_HOME:-~/.claude/plugins/idstack}"
"$_IDSTACK/bin/idstack-learnings-search" --limit 1000
Format as markdown with sections grouped by type (operational, pedagogical, etc.)
and write to .idstack/learnings-export.md.